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ORCIDBigData Conference 2019: Los Angeles, CA, USA
- Chaitanya K. Baru, Jun Huan, Latifur Khan, Xiaohua Hu, Ronay Ak, Yuanyuan Tian, Roger S. Barga, Carlo Zaniolo, Kisung Lee, Yanfang (Fanny) Ye:
2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019. IEEE 2019, ISBN 978-1-7281-0858-2 - Ramanathan V. Guha:
DataCommons. 1 - Lise Getoor:
Responsible Data Science. 1 - Qiang Yang:
Federated Recommendation Systems. 1 - Ling Liu:
Deception, Robustness and Trust in Big Data Fueled Deep Learning Systems. 3 - Judea Pearl:
The new science of cause and effect, with reflections on data science and artificial intelligence. 4 - Adil Alim, Xujiang Zhao, Jin-Hee Cho, Feng Chen:
Uncertainty-Aware Opinion Inference Under Adversarial Attacks. 6-15 - Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas
:
MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gradient Descent. 16-25 - Chandrajit Bajaj, Yi Wang, Tianming Wang:
SketchyCoreSVD: SketchySVD from Random Subsampling of the Data Matrix. 26-35 - Benedikt T. Boenninghoff, Steffen Hessler, Dorothea Kolossa, Robert M. Nickel:
Explainable Authorship Verification in Social Media via Attention-based Similarity Learning. 36-45 - Huiyuan Chen, Jing Li:
Finding Stable Clustering for Noisy Data via Structure-Aware Representation. 46-55 - Enmao Diao, Jie Ding, Vahid Tarokh:
Restricted Recurrent Neural Networks. 56-63 - Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han:
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. 64-73 - Soumyajit Gupta, Chandrajit Bajaj:
A Streaming model for Generalized Rayleigh with extension to Minimum Noise Fraction. 74-83 - So Hirai, Kenji Yamanishi:
Detecting Model Changes and their Early Warning Signals Using MDL Change Statistics. 84-93 - Wenqing Hu, Chris Junchi Li, Xiang Zhou:
On the Global Convergence of Continuous-Time Stochastic Heavy-Ball Method for Nonconvex Optimization. 94-104 - Hyungsul Kim, Ahmed El-Kishky, Xiang Ren, Jiawei Han:
Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach. 105-114 - Wafaa Mebrek, Badran Raddaoui, Mohamad Albilani:
On Relaxing Failing Queries over RDF Databases. 115-124 - Van-Son Nguyen, Duc-Tung Nguyen, Ngo Van Linh, Khoat Than:
Infinite Dropout for training Bayesian models from data streams. 125-134 - Hankui Peng, Nicos G. Pavlidis:
Subspace Clustering with Active Learning. 135-144 - Riazat Ryan, Handong Zhao, Ming Shao:
CTC-Attention based Non-Parametric Inference Modeling for Clinical State Progression. 145-154 - Ruchi Shah, Shaoshuai Zhang, Ying Lin, Panruo Wu:
xSVM: Scalable Distributed Kernel Support Vector Machine Training. 155-164 - Andrew J. Tritt, Oliver Rübel, Benjamin K. Dichter, Ryan Ly, Donghe Kang, Edward F. Chang, Loren M. Frank, Kristofer E. Bouchard:
HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards. 165-179 - Benedetto Buratti, Eli Upfal:
Ordalia: Deep Learning Hyperparameter Search via Generalization Error Bounds Extrapolation. 180-187 - Can Chen, Yijun Wang, Guoan Huang, Hui Xiong:
Hierarchical Demand Forecasting for Factory Production of Perishable Goods. 188-193 - Lijiang Geng, Yishu Xue, Guanyu Hu:
Subsampled Information Criteria for Bayesian Model Selection in the Big Data Setting. 194-199 - Hajar Homayouni, Sudipto Ghosh, Indrakshi Ray, Michael G. Kahn:
An Interactive Data Quality Test Approach for Constraint Discovery and Fault Detection. 200-205 - Diego Klabjan, Mark Harmon:
Activation Ensembles for Deep Neural Networks. 206-214 - Rui Li, Fenglong Ma, Wenjun Jiang, Jing Gao:
Online Federated Multitask Learning. 215-220 - Xiang Liu, Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang:
Sparse Block Regression (SBR) for Big Data with Categorical Variables. 221-226 - Michael Nelson, Sridhar Radhakrishnan, Chandra N. Sekharan:
Algorithms on Compressed Time-Evolving Graphs. 227-232 - R. Uday Kiran, C. Saideep, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering Partial Periodic Spatial Patterns in Spatiotemporal Databases. 233-238 - Zhuoyi Wang, Bo Dong, Yu Lin, Yigong Wang, Md Shihabul Islam, Latifur Khan:
Co-Representation Learning Framework For the Open-Set Data Classification. 239-244 - Ye Xue, Diego Klabjan, Yuan Luo:
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension. 245-252 - Sumedh Yadav, Mathis Bode:
A discrete mathematics approach for large scale improvement in classification training time. 253-259 - Peifeng Yin, Lei Huang, Sunhwan Lee, Mu Qiao, Shubhi Asthana, Taiga Nakamura:
Diagnosis of Neural Network via Backward Deduction. 260-267 - Ronald Barber, Adam J. Storm, Yuanyuan Tian, Pinar Tözün, Yingjun Wu, Christian Garcia-Arellano, Ronen Grosman, Guy M. Lohman, C. Mohan, René Müller, Hamid Pirahesh, Vijayshankar Raman, Richard Sidle:
WiSer: A Highly Available HTAP DBMS for IoT Applications. 268-277 - Yuqi Fu, Shaolun Zhang, Jose Terrero, Ying Mao, Guangya Liu, Sheng Li, Dingwen Tao:
Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster. 278-287 - Conghui He, Shijie Sun, Benli Li, Xiaogang Tu, Donghai Yu:
Finding Mutual X at WeChat-Scale Social Network in Ten Minitues. 288-297 - Yu-Tung Hsieh, Chuan-Yu Lee, Ching-Chi Lin, Pangfeng Liu, Jan-Jan Wu:
A Bicameralism Voting Framework for Combining Knowledge from Clients into Better Prediction. 298-306 - Saiyedul Islam, Navneet Goyal, Sundar Balasubramaniam, Poonam Goyal, Achal Agarwal, Kirti Singh Rathore, Nischay Singh:
Rapid Prototyping of Hierarchical Agglomerative Clustering Algorithms for Distributed Systems. 307-316 - Evdokia Kassela, Nikodimos Provatas, Ioannis Konstantinou, Avrilia Floratou, Nectarios Koziris:
General-Purpose vs. Specialized Data Analytics Systems: A Game of ML & SQL Thrones. 317-326 - Emine Ugur Kaynar, Mania Abdi, Mohammad Hossein Hajkazemi, Ata Turk, Raja R. Sambasivan, David Cohen, Larry Rudolph, Peter Desnoyers, Orran Krieger:
D3N: A multi-layer cache for the rest of us. 327-338 - Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning. 339-348 - Abbas Mazloumi, Xiaolin Jiang, Rajiv Gupta:
MultiLyra: Scalable Distributed Evaluation of Batches of Iterative Graph Queries. 349-358 - Phanwadee Sinthong, Michael J. Carey:
AFrame: Extending DataFrames for Large-Scale Modern Data Analysis. 359-371 - Ahmad Slo, Sukanya Bhowmik, Albert Flaig, Kurt Rothermel:
pSPICE: Partial Match Shedding for Complex Event Processing. 372-382 - Joshua Suetterlein, Ryan D. Friese, Nathan R. Tallent, Malachi Schram:
TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows. 383-394 - Kentaroh Toyoda, Allan N. Zhang:
Mechanism Design for An Incentive-aware Blockchain-enabled Federated Learning Platform. 395-403 - Wei Xiao:
Novel Online Algorithms for Nonparametric Correlations with Application to Analyze Sensor Data. 404-412 - Donglin Yang, Wei Rang, Dazhao Cheng, Yu Wang, Jiannan Tian, Dingwen Tao:
Elastic Executor Provisioning for Iterative Workloads on Apache Spark. 413-422 - Wei Zhou, K. Preston White, Hongfeng Yu:
Eirene: Improving Short Job Latency Performance with Coordinated Cold Data Migration and Scheduler-Aware Task Cloning. 423-432 - Cesare Cugnasco, Hadrien Calmet, Pol Santamaria, Raül Sirvent, Ane Beatriz Eguzkitza, Guillaume Houzeaux, Yolanda Becerra, Jordi Torres, Jesús Labarta:
The OTree: Multidimensional Indexing with efficient data Sampling for HPC. 433-440 - Roshan Bharath Das, Marc X. Makkes, Alexandru Uta, Lin Wang, Henri E. Bal:
Aves: A Decision Engine for Energy-efficient Stream Analytics across Low-power Devices. 441-448 - Manuel Dossinger, Sebastian Michel:
Scaling Out Multi-Way Stream Joins using Optimized, Iterative Probing. 449-456 - Pradeeban Kathiravelu, Yusuf Nadir Saghar, Tushar Aggarwal, Ashish Sharma:
Data Services with Bindaas: RESTful Interfaces for Diverse Data Sources. 457-462 - Johannes Luong, Dirk Habich, Wolfgang Lehner:
DataCalc: Ad-hoc Analyses on Heterogeneous Data Sources. 463-468 - Pedro Silva, Alexandru Costan, Gabriel Antoniu:
Investigating Edge vs. Cloud Computing Trade-offs for Stream Processing. 469-474 - Jianping Zeng, Hongfeng Yu:
Effectively Unified optimization for Large-scale Graph Community Detection. 475-482 - Langshi Chen, Jiayu Li, S. Cenk Sahinalp, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu:
SubGraph2Vec: Highly-Vectorized Tree-like Subgraph Counting. 483-492 - Kun Feng, Hariharan Devarajan, Anthony Kougkas, Xian-He Sun:
NIOBE: An Intelligent I/O Bridging Engine for Complex and Distributed Workflows. 493-502 - Hairi, Hanghang Tong, Lei Ying:
NetDyna: Mining Networked Coevolving Time Series with Missing Values. 503-512 - Lihui Liu, Boxin Du, Jiejun Xu, Hanghang Tong:
G-Finder: Approximate Attributed Subgraph Matching. 513-522 - Qizhong Mao, Steven Jacobs, Waleed Amjad, Vagelis Hristidis, Vassilis J. Tsotras, Neal E. Young:
Experimental Evaluation of Bounded-Depth LSM Merge Policies. 523-532 - Jinghan Meng, Napath Pitaksirianan, Yicheng Tu:
Generalizing Design of Support Measures for Counting Frequent Patterns in Graphs. 533-542 - Nikhil Muralidhar, Sathappan Muthiah, Kiyoshi Nakayama, Ratnesh Sharma, Naren Ramakrishnan:
Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach. 543-552 - Minh-Huong Le Nguyen, Heitor Murilo Gomes, Albert Bifet:
Semi-supervised Learning over Streaming Data using MOA. 553-562 - Lais M. A. Rocha, Aline Bessa, Fernando Chirigati, Eugene OFriel, Mirella M. Moro, Juliana Freire:
Understanding Spatio-Temporal Urban Processes. 563-572 - Lanyu Shang, Daniel Yue Zhang, Michael Wang, Dong Wang:
VulnerCheck: A Content-Agnostic Detector for Online Hatred-Vulnerable Videos. 573-582 - Feng Yu, Wen-Chi Hou:
CS*: Approximate Query Processing on Big Data using Scalable Join Correlated Sample Synopsis. 583-592 - Jingwei Zuo, Karine Zeitouni, Yehia Taher:
Incremental and Adaptive Feature Exploration over Time Series Stream. 593-602 - Cecile Daniel, Angelo Furno, Eugenio Zimeo:
Cluster-based Computation of Exact Betweenness Centrality in Large Undirected Graphs. 603-608 - Erika Duriakova, Deepak Ajwani, Neil Hurley:
Engineering a Parallel Δ-stepping Algorithm. 609-616 - George H. L. Fletcher, Alexandra Poulovassilis, Petra Selmer, Peter T. Wood:
Approximate Querying for the Property Graph Language Cypher. 617-622 - Thomas Gschwind, Christoph Miksovic, Julian Minder, Katsiaryna Mirylenka, Paolo Scotton:
Fast Record Linkage for Company Entities. 623-630 - Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang, Ning Li:
GRADI: Towards Group Recommendation Using Attentive Dual Top-Down and Bottom-Up Influences. 631-636 - Tasnim Kabir, Muhammad Abdullah Adnan:
A Scalable Algorithm for Multi-class Support Vector Machine on Geo-Distributed Datasets. 637-642 - Nikki Lijing Kuang, Clement H. C. Leung:
Analysis of Evolutionary Behavior in Self-Learning Media Search Engines. 643-650 - Prabhat Mishra, Suresh Kumar Gudla, Amogha D. ShanBhag, Joy Bose:
Enhanced Alternate Action Recommender System Using Recurrent Patterns and Fault Detection System for Smart Home Users. 651-656 - Minh Pham, Craig A. Knoblock, Jay Pujara:
Learning Data Transformations with Minimal User Effort. 657-664 - Swati Rallapalli, Liang Ma, Mudhakar Srivatsa, Ananthram Swami, Heesung Kwon, Graham A. Bent, Christopher Simpkin:
SENSE: Semantically Enhanced Node Sequence Embedding. 665-670 - Fotis Savva, Christos Anagnostopoulos, Peter Triantafillou:
Aggregate Query Prediction under Dynamic Workloads. 671-676 - Tianqi Wang, Houping Xiao, Fenglong Ma, Jing Gao:
IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation. 677-682 - Di Wu, Yi He, Xin Luo, Mingsheng Shang, Xindong Wu:
Online Feature Selection with Capricious Streaming Features: A General Framework. 683-688 - Kun Xie, Che-Rung Lee, Feng-Yuan Liu:
Performance Optimization of SpMV on Spark. 689-694 - Danfeng Yan, Jiyuan Chen, Jianfei Cui, Ao Shan, Wenting Shi:
Deep Multi-Head Attention Network for Aspect-Based Sentiment Analysis. 695-700 - Esra Akbas:
Index Based Efficient Algorithms For Closest Community Search. 701-710 - Eugenio Angriman, Alexander van der Grinten, Henning Meyerhenke:
Local Search for Group Closeness Maximization on Big Graphs. 711-720 - Huiyuan Chen, Jing Li:
Collaborative Ranking Tags and Items via Cross-domain Recommendation. 721-730 - Huiyuan Chen, Jing Li:
Collective Tensor Completion with Multiple Heterogeneous Side Information. 731-740 - Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu:
Adapted Tree Boosting for Transfer Learning. 741-750 - Yang Gao, Yi-Fan Li, Bo Dong, Yu Lin, Latifur Khan:
SIM: Open-World Multi-Task Stream Classifier with Integral Similarity Metrics. 751-760 - Heitor Murilo Gomes, Rodrigo Fernandes de Mello, Bernhard Pfahringer, Albert Bifet:
Feature Scoring using Tree-Based Ensembles for Evolving Data Streams. 761-769 - Justus Hibshman, Satyaki Sikdar, Tim Weninger:
Towards Interpretable Graph Modeling with Vertex Replacement Grammars. 770-779 - Najib Ishaq, George Student, Noah M. Daniels:
Clustered Hierarchical Entropy-Scaling Search of Astronomical and Biological Data. 780-789 - Shayan Jawed, Ahmed Rashed, Lars Schmidt-Thieme:
Multi-step Forecasting via Multi-task Learning. 790-799 - Hyunsik Jeon, Bonhun Koo, U Kang:
Data Context Adaptation for Accurate Recommendation with Additional Information. 800-809 - Shunsuke Kanda, Yasuo Tabei:
b-Bit Sketch Trie: Scalable Similarity Search on Integer Sketches. 810-819 - Rachel Krohn, Tim Weninger:
Modelling Online Comment Threads from their Start. 820-829 - Sunwoo Lee, Qiao Kang, Sandeep Madireddy, Prasanna Balaprakash, Ankit Agrawal, Alok N. Choudhary, Richard Archibald, Wei-keng Liao:
Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time. 830-839 - Chen Lin, Julie S. Ivy, Min Chi:
Multi-layer Facial Representation Learning for Early Prediction of Septic Shock. 840-849 - Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu:
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. 850-859 - Jing Liu, Yudi Chen, Duanshun Li, Noseong Park, Kisung Lee, Dongwon Lee:
Predicting Influence Probabilities using Graph Convolutional Networks. 860-869 - Huanrui Luo, Ning Yang, Philip S. Yu:
Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations. 870-879 - Nicholas O. Malott, Philip A. Wilsey:
Fast Computation of Persistent Homology with Data Reduction and Data Partitioning. 880-889 - Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia:
High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models. 890-899 - Prarthana Padia, Kwan Hui Lim, Jeffrey Chan, Aaron Harwood:
Sentiment-Aware and Personalized Tour Recommendation. 900-909 - Ziyue Qiao, Yi Du, Yanjie Fu, Pengfei Wang, Yuanchun Zhou:
Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding. 910-919 - Shaina Raza, Chen Ding:
News Recommender System Considering Temporal Dynamics and News Taxonomy. 920-929 - Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Patient-level Classification on Clinical Note Sequences Guided by Attributed Hierarchical Attention. 930-939 - Ajitesh Srivastava, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna:
RecANt: Network-based Recruitment for Active Fake News Correction. 940-949 - Panagiotis Tampakis, Nikos Pelekis, Christos Doulkeridis, Yannis Theodoridis:
Scalable Distributed Subtrajectory Clustering. 950-959 - Yufan Wang, Tingting He, Rui Fan, Wenji Zhou, Xinhui Tu:
Effective Utilization of External Knowledge and History Context in Multi-turn Spoken Language Understanding Model. 960-967 - Jian Wen, Zhongbao Zhang, Zichang Yin, Li Sun, Sen Su, Philip S. Yu:
DeepBlue: Bi-layered LSTM for tweet popUlarity Estimation. 968-977 - Yuxin Xiao, Zecheng Zhang, Carl Yang, Chengxiang Zhai:
Non-local Attention Learning on Large Heterogeneous Information Networks. 978-987 - Mingxuan Yue, Yaguang Li, Haoze Yang, Ritesh Ahuja, Yao-Yi Chiang, Cyrus Shahabi:
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis. 988-997 - Si Zhang, Hanghang Tong, Jiejun Xu, Yifan Hu, Ross Maciejewski:
ORIGIN: Non-Rigid Network Alignment. 998-1007 - Qinghai Zhou, Liangyue Li, Hanghang Tong:
Towards Real Time Team Optimization. 1008-1017 - Yang Zhou, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang:
Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification. 1018-1027 - Ali Assi, Hamid Mcheick, Wajdi Dhifli:
BIGMAT: A Distributed Affinity-Preserving Random Walk Strategy for Instance Matching on Knowledge Graphs. 1028-1033 - Sreyasee Das Bhattacharjee, William J. Tolone, Roy Cheria, Urmimala Sarkar:
Multimodal, Context-Aware, Feature Representation Learning for Classification and Localization. 1034-1039 - Dihia Boulegane, Albert Bifet, Giyyarpuram Madhusudan:
Arbitrated Dynamic Ensemble with Abstaining for Time-Series Forecasting on Data Streams. 1040-1045 - Zhengyu Chen, Sibo Gai, Donglin Wang:
Deep Tensor Factorization for Multi-Criteria Recommender Systems. 1046-1051 - Manoj Reddy Dareddy, Mahashweta Das, Hao Yang:
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. 1052-1059 - Charalampos Davalas, Dimitrios Michail, Iraklis Varlamis:
Graph matching on social networks without any side information. 1060-1065 - Shiyuan Deng, Xiao Yan, Kelvin Kai Wing Ng, Chenyu Jiang, James Cheng:
Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets. 1066-1071 - Veronika Domova, Shiva Sander-Tavallaey:
Visualization for Quality Healthcare: Patient Flow Exploration. 1072-1079 - Tingting Dong, Shoji Nishimura, Jianquan Liu:
Refining Image Search Results using Multiple Attributes. 1080-1087 - Bowen Dong, Charu C. Aggarwal, Philip S. Yu:
The Link Regression Problem in Graph Streams. 1088-1095 - Dandan Fang, Jinyong Zhang, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, Tingting He:
Hierarchical-Document-Structure-Aware Attention with Adaptive Cost Sensitive Learning for Biomedical Document Classification. 1096-1102 - Yuwei Fu, Yun Xiong, Philip S. Yu, Tianyi Tao, Yangyong Zhu:
Metapath Enhanced Graph Attention Encoder for HINs Representation Learning. 1103-1110 - Jiechao Gao, Haoyu Wang, Haiying Shen:
Task Failure Prediction in Cloud Data Centers Using Deep Learning. 1111-1116 - Lodovico Giaretta, Sarunas Girdzijauskas:
Gossip Learning: Off the Beaten Path. 1117-1124 - Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao:
Visual Anomaly Detection in Event Sequence Data. 1125-1130 - Yi Han, Shanika Karunasekera, Christopher Leckie, Aaron Harwood:
Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification. 1131-1136 - Song-Eun Lee, Kang-Min Kim, Woo-Jong Ryu, Jemin Park, SangKeun Lee:
From Text Classification to Keyphrase Extraction for Short Text. 1137-1142 - Jay Lewis, Ryan G. Benton, David Bourrie, Jennifer Lavergne:
Enhancing Itemset Tree Rules and Performance. 1143-1150 - Gen Li, Li Sun, Zhongbao Zhang, Pengxin Ji, Sen Su, Philip S. Yu:
MC2: Unsupervised Multiple Social Network Alignment. 1151-1156 - Lin Li, Daniel L. Sussman:
Graph Matching via Multi-Scale Heat Diffusion. 1157-1162 - Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin:
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. 1163-1168 - Lin Meng, Jiyang Bai, Jiawei Zhang:
LATTE: Application Oriented Social Network Embedding. 1169-1174 - Linh Nguyen, Tsukasa Ishigaki:
D2D-TM: A Cycle VAE-GAN for Multi-Domain Collaborative Filtering. 1175-1180 - Nasheen Nur, Noseong Park, Kookjin Lee, Hyunjoong Kang, Soonhyeon Kwon:
Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients. 1181-1186 - Yu Pan, Feiyu Zhu, Tian Gao, Hongfeng Yu:
Adaptive Deep Learning based Time-Varying Volume Compression. 1187-1194 - Mahardhika Pratama, Andri Ashfahani, Mohamad Abdul Hady:
Weakly Supervised Deep Learning Approach in Streaming Environments. 1195-1202 - Kaivalya Rawal, Arijit Khan:
Maximizing Contrasting Opinions in Signed Social Networks. 1203-1210 - Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo:
USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. 1211-1217 - Hongyu Sun, Qiang He, Kewen Liao, Timos Sellis, Longkun Guo, Xuyun Zhang, Jun Shen, Feifei Chen:
Fast Anomaly Detection in Multiple Multi-Dimensional Data Streams. 1218-1223 - Li Sun, Zhongbao Zhang, Pengxin Ji, Jian Wen, Sen Su, Philip S. Yu:
DNA: Dynamic Social Network Alignment. 1224-1231 - Xiancai Tian, Baihua Zheng:
Study Group Travel Behaviour Patterns From Large-Scale Smart Card Data. 1232-1237 - Mohamed Trabelsi, Brian D. Davison, Jeff Heflin:
Improved Table Retrieval Using Multiple Context Embeddings for Attributes. 1238-1244 - Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu:
Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network. 1245-1250 - Akihiro Yoshida, Yosuke Yatsushiro, Nozomi Hata, Tatsuru Higurashi, Nariaki Tateiwa, Takashi Wakamatsu, Akira Tanaka, Kenichi Nagamatsu, Katsuki Fujisawa:
Practical End-to-End Repositioning Algorithm for Managing Bike-Sharing System. 1251-1258 - Jiawei Zhang, Bowen Dong, Philip S. Yu:
Deep Diffusive Neural Network based Fake News Detection from Heterogeneous Social Networks. 1259-1266 - Yang Zhou, Jiaxiang Ren, Sixing Wu, Dejing Dou, Ruoming Jin, Zijie Zhang, Pengwei Wang:
Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets. 1267-1273 - Feiyu Zhu, Yu Pan, Tian Gao, Harkamal Walia, Hongfeng Yu:
Interactive Visualization of Time-Varying Hyperspectral Plant Images for High-Throughput Phenotyping. 1274-1281 - Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu:
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. 1282-1291 - Sunny Dhamnani, Dhruv Singal, Ritwik Sinha, Tharun Mohandoss, Manish Dash:
RAPID: Rapid and Precise Interpretable Decision Sets. 1292-1301 - Jiahao Ding, Xinyue Zhang, Mingsong Chen, Kaiping Xue, Chi Zhang, Miao Pan:
Differentially Private Robust ADMM for Distributed Machine Learning. 1302-1311 - Zhi Feng, Jun Huan, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Shengwen Yang, Liping Liu:
SecureGBM: Secure Multi-Party Gradient Boosting. 1312-1321 - André T. Nguyen, Edward Raff, Aaron Sant-Miller:
Would a File by Any Other Name Seem as Malicious? 1322-1331 - Axel Oehmichen, Shubham Jain, Andrea Gadotti, Yves-Alexandre de Montjoye:
OPAL: High performance platform for large-scale privacy-preserving location data analytics. 1332-1342 - Shuhan Yuan, Panpan Zheng, Xintao Wu, Qinghua Li:
Insider Threat Detection via Hierarchical Neural Temporal Point Processes. 1343-1350 - Haoti Zhong, Hao Li, Anna Cinzia Squicciarini, Sarah Michele Rajtmajer, David J. Miller:
Toward Image Privacy Classification and Spatial Attribution of Private Content. 1351-1360 - Esteban Guillen, Trilce Estrada, Matthew Cain:
DeepManner: Automatically Determining Manner of Death. 1361-1366 - Jerome Dinal Herath, Changxin Bai, Guanhua Yan, Ping Yang, Shiyong Lu:
RAMP: Real-Time Anomaly Detection in Scientific Workflows. 1367-1374 - Vasileios Iosifidis, Besnik Fetahu, Eirini Ntoutsi:
FAE: A Fairness-Aware Ensemble Framework. 1375-1380 - Zhongyuan Jiang, Jianfeng Ma, Philip S. Yu:
Walk2Privacy: Limiting target link privacy disclosure against the adversarial link prediction. 1381-1388 - Kangsoo Jung, Seog Park:
Privacy Bargaining with Fairness: Privacy-Price Negotiation System for Applying Differential Privacy in Data Market Environments. 1389-1394 - Tsubasa Takahashi:
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks. 1395-1400 - Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu:
FairGAN+: Achieving Fair Data Generation and Classification through Generative Adversarial Nets. 1401-1406 - Yu-Chen Wu, Mi-Yen Yeh, Tei-Wei Kuo:
Fast Frequent Pattern Mining without Candidate Generations on GPU by Low Latency Memory Allocation. 1407-1416 - David C. Mainenti:
Big data and traditional Chinese medicine (TCM): What's state of the art? 1417-1422 - Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk:
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data. 1423-1431 - Theo Carr, Jun Zhuang, Dwight Sablan, Emma LaRue, Yubao Wu, Mohammad Al Hasan, George O. Mohler:
Into the Reverie: Exploration of the Dream Market. 1432-1441 - Muhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo:
Learning to Differentiate Between Main-articles and Sub-articles in Wikipedia. 1442-1449 - Tao Huang, Yintai Ma, Zhiwei (Tony) Qin, Jianfeng Zheng, Henry X. Liu, Hongtu Zhu, Jieping Ye:
Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network. 1450-1459 - Guangyin Jin, Qi Wang, Xia Zhao, Yanghe Feng, Qing Cheng, Jincai Huang:
Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss. 1460-1469 - Ahmed Lasisi, Antonio Merheb, Allan Zarembski, Nii O. Attoh-Okine:
Rail Track Quality and T-Stochastic Neighbor Embedding for Hybrid Track Index. 1470-1477 - Hadi Mansourifar, Lin Chen, Weidong Shi:
Virtual Big Data for GAN Based Data Augmentation. 1478-1487 - Robert M. Patton, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou:
Exascale Deep Learning to Accelerate Cancer Research. 1488-1496 - Rajesh Sharma, Artem Mateush, Jaan Übi:
Tale of Three States: Analysis of Large Person-to-Person Online Financial Transactions in Three Baltic Countries. 1497-1505 - Qiyao Wang, Haiyan Wang, Chetan Gupta, Susumu Serita:
Regularized Operating Envelope with Interpretability and Implementability Constraints. 1506-1516 - Xiaoxiao Wang, Xueying Guo, Jie Chuai, Zhitang Chen, Xin Liu:
Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration. 1517-1526 - Rongzhe Wei, Qinghua Zheng, Bo Dong, Kuanzheng Yang, Huan He, Jianfei Ruan:
ABR-HIC: Attention Based Bidirectional RNN for Hierarchical Industry Classification. 1527-1536 - Yuxin Wen, Jizhou Huang, Chongli Zhu, Miao Fan, Ying Li:
Learning to Discover Curbside Parking Spaces from Vehicle Trajectories. 1537-1546 - Zhiyuan Wu, Yue Wang, Lin Zhang:
MSSTN: Multi-Scale Spatial Temporal Network for Air Pollution Prediction. 1547-1556 - Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, Jun Zhou:
DSSLP: A Distributed Framework for Semi-supervised Link Prediction. 1557-1566 - Yang Zhang, Ruohan Zong, Jun Han, Hao Zheng, Qiuwen Lou, Daniel Yue Zhang, Dong Wang:
TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing. 1567-1576 - Yang Zhou, Yan Huang:
Place Representation Based Bike Demand Prediction. 1577-1586 - Zainab Abbas, Jon Reginbald Ivarsson, Ahmad Al-Shishtawy, Vladimir Vlassov:
Scaling Deep Learning Models for Large Spatial Time-Series Forecasting. 1587-1594 - Sabrina Amrouche, Tobias Golling, Moritz Kiehn, Claudia Plant, Andreas Salzburger:
Similarity hashing for charged particle tracking. 1595-1600 - Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough:
A King's Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation. 1601-1606 - Anirban Bhattacharjee, Yogesh D. Barve, Shweta Khare, Shunxing Bao, Zhuangwei Kang, Aniruddha Gokhale, Thomas Damiano:
STRATUM: A BigData-as-a-Service for Lifecycle Management of IoT Analytics Applications. 1607-1612 - Laurent Caraffa, Pooran Memari, Murat Yirci, Mathieu Brédif:
Tile & Merge: Distributed Delaunay Triangulations for Cloud Computing. 1613-1618 - Brian Chen, Hwee-Pink Tan, Iris Rawtaer, Hwee-Xian Tan:
Objective Sleep Quality as a Predictor of Mild Cognitive Impairment in Seniors Living Alone. 1619-1624 - Yousu Chen, Tianzhixi Yin, Renke Huang, Xiaoyuan Fan, Qiuhua Huang:
Big Data Analytic for Cascading Failure Analysis. 1625-1630 - Macario O. Cordel II:
Modeling human attention by learning from large amount of emotional images. 1631-1636 - Nik Dawson, Marian-Andrei Rizoiu, Benjamin Johnston, Mary-Anne Williams:
Adaptively selecting occupations to detect skill shortages from online job ads. 1637-1643 - Bo Dong, Jinghui Guo, Zhuoyi Wang, Rong Wu, Yang Gao, Latifur Khan:
Regression Prediction For Geolocation Aware Through Relative Density Ratio Estimation. 1644-1649 - Nicholas E. Johnson, Pablo Mandiola, Cyrus Blankinship, Bartosz J. Bonczak, Constantine E. Kontokosta:
Validating the Use of Wi-Fi Signals to Estimate Hyperlocal Urban Populations. 1650-1655 - Yu Kitano, Satoshi Kuwamoto, Akinori Asahara:
OD-network-based Pedestrian-path Prediction for People-flow Simulation. 1656-1661 - Aekyeung Moon, Xiaoyan Zhuo, Jialing Zhang, Seung Woo Son:
AD2: Improving Quality of IoT Data through Compressive Anomaly Detection. 1662-1668 - Ngoc-Thanh Nguyen, Minh-Son Dao, Koji Zettsu:
Complex Event Analysis for Traffic Risk Prediction based on 3D-CNN with Multi-sources Urban Sensing Data. 1669-1674 - Rongzhe Wei, Bo Dong, Qinghua Zheng, Xulyu Zhu, Jianfei Ruan, Huan He:
Unsupervised Conditional Adversarial Networks for Tax Evasion Detection. 1675-1680 - Yingchao Wu, Qinghua Zheng, Yuda Gao, Bo Dong, Rongzhe Wei, Fa Zhang, Huan He:
TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning. 1681-1686 - Diwen Xue, Willie Yee, Yueping Wang, Suzanne McIntosh:
Implementing a Domain-Independent Framework to Detect Suspicious Review Patterns. 1687-1692 - Sakura Yamaki, Shou-de Lin, Wataru Kameyama:
Detection of Anomaly State Caused by Unexpected Accident using Data of Smart Card for Public Transportation. 1693-1698 - Kun Yang, Xuhui Chen, Pan Li:
Data Streaming Analysis Framework for Through-time 3D Free-breathing Liver DCE-MRI. 1699-1704 - Wei Zhang, Lei Han, Juanzhen Sun, Hanyang Guo, Jie Dai:
Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting. 1705-1710 - Shuai Zhao, Achir Kalra, Chong Wang, Cristian Borcea, Yi Chen:
Ad Blocking Whitelist Prediction for Online Publishers. 1711-1716 - Baoxin Zhao, Chengzhong Xu, Siyuan Liu, Juanjuan Zhao, Li Li:
A Congestion Diffusion Model with Influence Maximization for Traffic Bottlenecks Identification in Metrocity Scales. 1717-1722 - Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora:
Attributed Sequence Embedding. 1723-1728 - Kareem S. Aggour, Vijay S. Kumar, Paul Cuddihy, Jenny Weisenberg Williams, Vipul Gupta, Laura Dial, Timothy Hanlon, Justin Gambone, Joseph Vinciquerra:
Federated Multimodal Big Data Storage & Analytics Platform for Additive Manufacturing. 1729-1738 - Amey Agrawal, Abhishek Dixit, Namrata A. Shettar, Darshil Kapadia, Vikram Agrawal, Rajat Gupta, Rohit Karlupia:
Delog: A High-Performance Privacy Preserving Log Filtering Framework. 1739-1748 - Yuanzhe Bei, Thao Pham, Akshay Aggarwal, Nga Tran, Jaimin Dave, Chuck Bear, Michael Leuchtenburg:
Vertica Flattened Tables and Live Aggregate Projections: A Column-based Alternative to Materialized Views for Analytics. 1749-1758 - Junghoon Chae, Debsindhu Bhowmik, Heng Ma, Arvind Ramanathan, Chad A. Steed:
Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations. 1759-1764 - Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Jun Zhou, Shuang Yang, Yuan Qi:
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. 1765-1773 - Xuan-Hong Dang, Syed Yousaf Shah, Petros Zerfos:
seq2graph: Discovering Dynamic Non-linear Dependencies from Multivariate Time Series. 1774-1783 - Nassia Daouayry, Ammar Mechouche, Pierre-Loic Maisonneuve, Vasile-Marian Scuturici, Jean-Marc Petit:
Data-Centric Helicopter Failure Anticipation: The MGB Oil Pressure Virtual Sensor Case. 1784-1793 - Masaharu Goto, Naoki Kobayashi, Gang Ren, Mitsunori Ogihara:
Scaling Up Heterogeneous Waveform Clustering for Long-Duration Monitoring Signal Acquisition, Analysis, and Interaction: Bridging Big Data Analytics with Measurement Instrument Usage Pattern. 1794-1803 - Antoine Hébert, Timothée Guédon, Tristan Glatard, Brigitte Jaumard:
High-Resolution Road Vehicle Collision Prediction for the City of Montreal. 1804-1813 - Miro Hodak, Masha Gorkovenko, Ajay Dholakia:
Towards Power Efficiency in Deep Learning on Data Center Hardware. 1814-1820 - Geert Janssen, Vladimir Zolotov, Tung D. Le:
Large Data Flow Graphs in Limited GPU Memory. 1821-1830 - Chandrika Kamath:
Intelligent Exploration of Large-Scale Data: What Can We Learn in Two Passes? 1831-1840 - Chaitanya Kanchibhotla, Pruthviraj Venkatesh, Durvasula V. L. N. Somayajulu, P. Radha Krishna:
An Efficient Cloud-Based Framework for Digital Media Knowledge Extraction. 1841-1850 - Ishita K. Khan, Aritra Mandal, Prathyusha Senthil Kumar:
Contextual Price Features for e-Commerce Search Ranking. 1851-1857 - Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao:
A Framework for Explainable Text Classification in Legal Document Review. 1858-1867 - Saurav Manchanda, Pranjul Yadav, Khoa D. Doan, S. Sathiya Keerthi:
Targeted display advertising: the case of preferential attachment. 1868-1877 - Ye Ouyang, Aidong Yang, Shuming Zeng, Fanyu Meng:
MNP Inside Out: A Game Theory Assisted Machine Learning Model to Detect Subscriber Churn Behaviors under China's Mobile Number Portability Policy. 1878-1886 - Xianshan Qu, Li Li, Xi Liu, Rui Chen, Yong Ge, Soo-Hyun Choi:
A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding. 1887-1896 - Philipp Ross, André Luckow:
EdgeInsight: Characterizing and Modeling the Performance of Machine Learning Inference on the Edge and Cloud. 1897-1906 - Sangaralingam Kajanan, Nisha Verma, Aravind Ravi, Su Won Bae, Anindya Datta:
High Value Customer Acquisition & Retention Modelling - A Scalable Data Mashup Approach. 1907-1916 - Amir Yaghoubi Shahir, Mohammad A. Tayebi, Uwe Glässer, Tilemachos Charalampous, Zahra Zohrevand, Hans Wehn:
Mining Vessel Trajectories for Illegal Fishing Detection. 1917-1927 - Baoxu Shi, Jaewon Yang, Tim Weninger, How Jing, Qi He:
Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections. 1928-1937 - Sören Stöhrmann, Vera Kamp, Reinhard Moratz:
The Conceptual Background of OPTIMIST's AI Module. 1938-1945 - Qi Wang, Michal Siedlaczek, Yen-Yu Chen, Michael Gormish, Torsten Suel:
Forward Index Compression for Instance Retrieval in an Augmented Reality Application. 1946-1952 - Jingya Wang, Kareem Abdelfatah, Mohammed Korayem, Janani Balaji:
DeepCarotene -Job Title Classification with Multi-stream Convolutional Neural Network. 1953-1961 - Vivian Wen Hui Wong, Max Ferguson, Kincho H. Law, Yung-Tsun Tina Lee:
An Assistive Learning Workflow on Annotating Images for Object Detection. 1962-1970 - Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang:
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks. 1971-1980 - Pranjul Yadav, Michael S. Steinbach, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, György J. Simon:
Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects. 1981-1990 - Xiao Zhang, Manish Marwah, I-Ta Lee, Martin F. Arlitt, Dan Goldwasser:
ACE - An Anomaly Contribution Explainer for Cyber-Security Applications. 1991-2000 - Fahad Alhasoun, Marta C. González:
Streetify: Using Street View Imagery And Deep Learning For Urban Streets Development. 2001-2006 - Su Won Bae, Aravind Ravi, Sangaralingam Kajanan, Nisha Verma, Anindya Datta, Varun Chugh:
Suspicious Location Detection Using Trajectory Analysis & Location Backfilling - A Scalable Approach. 2007-2010 - Nicholas Becker, Ayush Dattagupta, Eli Fajardo, Prem Gali, Bianca Rhodes, Bartley Richardson, Bhargav Suryadevara:
Streamlined and Accelerated Cyber Analyst Workflows with CLX and RAPIDS. 2011-2015 - Neil Brockett, Catriona Clarke, Michele Berlingerio, Sourav Dutta:
A System for Analysis and Remediation of Attrition. 2016-2019 - Yu Cheng, Shuo Yang, David Araújo, Yibo Yao, Yantao Yao:
An Interactive Online Audience Extension System. 2020-2023 - Ruihong Huang, Zhiwei Chen, Zhicheng Liu, Shaoxu Song, Jianmin Wang:
TsOutlier: Explaining Outliers with Uniform Profiles over IoT Data. 2024-2027 - David J. Huber, Samuel D. Johnson, Nigel Stepp, Aruna Jammalamadaka, Dana Warmsley, Tiffany Kim, Tsai-Ching Lu:
MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. 2028-2032 - Zhanhong Jiang, Young M. Lee:
Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings. 2033-2037 - Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Ye Shi, Han Qin:
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. 2038-2042 - Choudur Lakshminarayan, Thiagarajan Ramakrishnan, Awny Al-Omari, Khaled Bouaziz, Faraz Ahmad, Sri Raghavan, Prama Agarwal:
Enterprise-wide Machine Learning using Teradata Vantage: An Integrated Analytics Platform. 2043-2046 - Alexander Suleykin, Peter Panfilov, Natalya Bakhtadze:
Industrial track: Architecting railway KPIs data processing with Big Data technologies. 2047-2056 - Ramoza Ahsan, Muzammil Bashir, Rodica Neamtu, Elke A. Rundensteiner, Gábor N. Sárközy:
Nearest Neighbor Subsequence Search in Time Series Data. 2057-2066 - Reham M. Alamro, Abdou S. Youssef:
Effects of Data Reduction Methods and Rates on Classifiers. 2067-2076 - Jabir Alshehabi Al-Ani, Maria Fasli:
Probabilistic Named Entity Recognition for nonstandard format entities using cooccurrence word embeddings. 2077-2086 - Nora Alkhamees, Maria Fasli:
The Dynamic-FPM: An Approach for Identifying Events from Social Networks Using Frequent Pattern Mining and Dynamic Support Values. 2087-2096 - Manal Almuammar, Maria Fasli:
Deep Learning for Non-stationary Multivariate Time Series Forecasting. 2097-2106 - Izzat Alsmadi, Muhammad Al-Abdullah, Hisham Alsmadi:
Popular Search Terms and Stock Price Prediction. 2107-2112 - M. Asokan:
A robust, efficient, and balanced parallel algorithm for finding connected components. 2113-2118 - Merve Astekin, Selim Özcan, Hasan Sözer:
Incremental Analysis of Large-Scale System Logs for Anomaly Detection. 2119-2127 - Beyza Bagiröz, Metehan Güzel, Uraz Yavanoglu, Suat Özdemir:
QoS Prediction Methods in IoT A Survey. 2128-2133 - Orhun Bugra Baran, Saim Sunel, Pinar Karagoz, Ismail Hakki Toroslu:
ATM Withdrawal Amount Forecasting Through Neural Architectures. 2134-2143 - Sanchita Basak, Abhishek Dubey, Bruno Leão:
Analyzing the Cascading Effect of Traffic Congestion Using LSTM Networks. 2144-2153 - Kivanc Bayraktar, Uraz Yavanoglu, Alper Özbilen:
A Rule-Based Holistic Approach for Turkish Aspect-Based Sentiment Analysis. 2154-2158 - Idir Benouaret, Sihem Amer-Yahia, Christiane Kamdem Kengne, Jalil Chagraoui:
A Bi-Objective Approach for Product Recommendations. 2159-2168 - Pooja Bhagat, Aparna S. Varde, Anna Feldman:
WordPrep: Word-based Preposition Prediction Tool. 2169-2176 - Jiang Bian, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang, Zhishan Guo:
On Generating Dominators of Customer Preferences. 2177-2186 - Yujing Chen, Huzefa Rangwala:
Attention-based Multi-task Learning for Sensor Analytics. 2187-2196 - Huaming Chen, Lei Wang, Yaochu Jin, Chi-Hung Chi, Fucun Li, Huaiyuan Chu, Jun Shen:
Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions. 2197-2204 - Minh-Son Dao, Ngoc-Thanh Nguyen, Koji Zettsu:
Multi-time-horizon Traffic Risk Prediction using Spatio-Temporal Urban Sensing Data Fusion. 2205-2214 - Gözde Merve Demirci, Seref Recep Keskin, Gülüstan Dogan:
Sentiment Analysis in Turkish with Deep Learning. 2215-2221 - Aysenur Gençdogmus, Seref Recep Keskin, Gülüstan Dogan, Yusuf Öztürk:
A Data-Driven Approach to Kinematic Analytics of Spinal Motion. 2222-2229 - Yunzhe Fang, Xiao-Yang Liu, Hongyang Yang:
Practical Machine Learning Approach to Capture the Scholar Data Driven Alpha in AI Industry. 2230-2239 - Yi Feng, Yi Zhou, Vahid Tarokh:
Recurrent Neural Network-Assisted Adaptive Sampling for Approximate Computing. 2240-2246 - Yasmeen M. George, Shanika Karunasekera, Aaron Harwood, Kwan Hui Lim:
Spatio-temporal Event Detection using Poisson Model and Quad-tree on Geotagged Social Media. 2247-2256 - Flavio Giobergia, Elena Baralis:
Fast Self-Organizing Maps Training. 2257-2266 - Chandadevi Giri, Ulf Johansson, Tuwe Löfström:
Predictive Modeling of Campaigns to Quantify Performance in Fashion Retail Industry. 2267-2273 - Aaron Harwood, Shanika Karunasekera, Michelle Vanni, Lucia Falzon, Prarthana Padia, Amila Silva:
Understanding Multilingual Communities through Analysis of Code-switching Behaviors in Social Media Discussions. 2274-2283 - Saratchandra Indrakanti, Svetlana Strunjas, Shubhangi Tandon, Manojkumar Rangasamy Kannadasan:
Influence of Neighborhood on the Preference of an Item in eCommerce Search. 2284-2288 - Abdelouahab Khelifati, Mourad Khayati, Philippe Cudré-Mauroux:
CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding. 2289-2298 - Ragini Kihlman, Maria Fasli:
Augmenting Co-Training With Recommendations to Classify Human Rights Violations. 2299-2308 - Jeeyung Kim:
Time-varying Item Feature Conditional Variational Autoencoder for Collaborative Filtering. 2309-2316 - Vinnie Ko, Stefan Oehmcke, Fabian Gieseke:
Magnitude and Uncertainty Pruning Criterion for Neural Networks. 2317-2326 - Ibrahim Kök, Burak H. Çorak, Uraz Yavanoglu, Suat Özdemir:
Deep Learning based Delay and Bandwidth Efficient Data Transmission in IoT. 2327-2333 - Lukasz Korycki, Alberto Cano, Bartosz Krawczyk:
Active Learning with Abstaining Classifiers for Imbalanced Drifting Data Streams. 2334-2343 - Andrés Leiva-Araos, Héctor Allende-Cid, Denis Khryashchev, Huy T. Vo:
Tackling the Neighboring Network Hit Problem in Cellular Data. 2344-2353 - Zerong Liu, Aidong Lu:
Explainable Visualization for Interactive Exploration of CNN on Wikipedia Vandal Detection. 2354-2363 - Junlan Lu, Nikhil Takappa Saunshi, Aldrich Mangune, Magdalini Eirinaki, Bin Yu, Cricket Liu:
A SERP-Mining Approach for Classification of DNS Requests. 2364-2372 - Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux:
DAOC: Stable Clustering of Large Networks. 2373-2382 - Kurosh Madani, Cristiano Russo, Antonio M. Rinaldi:
Merging Large Ontologies using BigData GraphDB. 2383-2392 - Thankgod Obasi, M. Omair Shafiq:
Towards comparing and using Machine Learning techniques for detecting and predicting Heart Attack and Diseases. 2393-2402 - Stefan Oehmcke, Christoffer Thrysøe, Andreas Borgstad, Marcos Antonio Vaz Salles, Martin Brandt, Fabian Gieseke:
Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data. 2403-2412 - Burak Özçakmak, Alper Özbilen, Uraz Yavanoglu, Kübra CIn:
Neural and Quantum Cryptography in Big Data: A Review. 2413-2417 - Shuaidong Pan, Tianran Hu, Shujing Sun, Jianbo Yuan, Jiebo Luo:
Help Oneself in Helping the Others: the Ecology of Online Support Groups. 2418-2427 - Parfait Bemarisika, André Totohasina:
An Informative Base of Positive and Negative Association Rules on Big Data. 2428-2437 - Wei Quan, Jinli Zhang, Xiaohua Tony Hu:
End-to-End Joint Opinion Role Labeling with BERT. 2438-2446 - Buvaneswari Ramanan, Lawrence M. Drabeck, Thomas Woo, Troy Cauble, Anil Rana:
Eliminating Data Collection Bottleneck for Wake Word Engine Training Using Found and Synthetic Data. 2447-2456 - Hannu Reittu, Ville Kotovirta, Lasse Leskelä, Hannu Rummukainen, Tomi Räty:
Towards analyzing large graphs with quantum annealing. 2457-2464 - Paolo Rosso, Dingqi Yang, Philippe Cudré-Mauroux:
Revisiting Text and Knowledge Graph Joint Embeddings: The Amount of Shared Information Matters! 2465-2473 - Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Learning Temporal Relevance in Longitudinal Medical Notes. 2474-2483 - William C. Sleeman IV, Bartosz Krawczyk:
Bagging Using Instance-Level Difficulty for Multi-Class Imbalanced Big Data Classification on Spark. 2484-2493 - Bob Vanderheyden, Ying Xie, Mohan Rachumallu:
Net Promoter Sentiment Classifier Using OHPL-ALL. 2494-2502 - Qinghan Xue, Abhishek Kolagunda, Steven Eliuk, Xiaolong Wang:
AWDF: An Adaptive Weighted Deep Fusion Architecture for Multi-modality Learning. 2503-2512 - Piyush Yadav, Edward Curry:
VidCEP: Complex Event Processing Framework to Detect Spatiotemporal Patterns in Video Streams. 2513-2522 - Wenhao Zhang, Ramin Ramezani, Arash Naeim:
WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning. 2523-2531 - Yang Zhou, Yan Huang, Joseph McGlynn, Alexander Han:
Trust Inference for Rideshare through Co-training on Social Media Data. 2532-2541 - Zeyuan Cui, Li Pan, Shijun Liu, Lizhen Cui:
Infer Latent Privacy for Attribute Network in Knowledge Graph. 2542-2551 - Dashan Gao, Yang Liu, Anbu Huang, Ce Ju, Han Yu, Qiang Yang:
Privacy-preserving Heterogeneous Federated Transfer Learning. 2552-2559 - Guangxu Mei, Ziyu Guo, Shijun Liu, Li Pan:
SGNN: A Graph Neural Network Based Federated Learning Approach by Hiding Structure. 2560-2568 - Shreya Sharma, Chaoping Xing, Yang Liu, Yan Kang:
Secure and Efficient Federated Transfer Learning. 2569-2576 - Tianshu Song, Yongxin Tong, Shuyue Wei:
Profit Allocation for Federated Learning. 2577-2586 - Aleksei Triastcyn, Boi Faltings:
Federated Learning with Bayesian Differential Privacy. 2587-2596 - Guan Wang, Charlie Xiaoqian Dang, Ziye Zhou:
Measure Contribution of Participants in Federated Learning. 2597-2604 - Kun Zhang, Yuliang Shi, Yuecan Liu, Zhongmin Yan:
Power Demand Response Incentive Pricing Model. 2605-2614 - Jonathan W. Boardman, Ying Xie:
Radically Simplifying Gated Recurrent Architectures Without Loss of Performance. 2615-2623 - Nathan Brugnone, Smita Krishnaswamy, Alex Gonopolskiy, Mark W. Moyle, Manik Kuchroo, David van Dijk, Kevin R. Moon, Daniel Colón-Ramos, Guy Wolf, Matthew J. Hirn:
Coarse Graining of Data via Inhomogeneous Diffusion Condensation. 2624-2633 - David van Dijk, Daniel B. Burkhardt, Matthew Amodio, Alexander Tong, Guy Wolf, Smita Krishnaswamy:
Finding Archetypal Spaces Using Neural Networks. 2634-2643 - Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Philip S. Yu:
Utility-Driven Mining of High Utility Episodes. 2644-2653 - Shoji Hirano, Shusaku Tsumoto:
Mining frequent temporal patterns from medical data based on fuzzy ranged relations. 2654-2658 - Tzung-Pei Hong, Cheng-Yu Lin, Wei-Ming Huang, Shu-Min Li, Shyue-Liang Wang, Jerry Chun-Wei Lin:
Mining Temporal Fuzzy Utility Itemsets by Tree Structure. 2659-2663 - Ken Ishibashi, Chen Xiao, Katsutoshi Yada:
Study of the Effects of Visual Complexity and Consumer Experience on Visual Attention and Purchase Behavior through the Use of Eye Tracking. 2664-2673 - Jerry Chun-Wei Lin, Yuanfa Li, Philippe Fournier-Viger, Youcef Djenouri, Shyue-Liang Leon Wang:
Mining High-Utility Sequential Patterns from Big Datasets. 2674-2680 - Artem Lutov, Dingqi Yang, Philippe Cudré-Mauroux:
Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection. 2681-2690 - Jayesh Patel:
An Effective and Scalable Data Modeling for Enterprise Big Data Platform. 2691-2697 - Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Estimation of Disease Code from Electronic Patient Records. 2698-2707 - Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Tomasz Wiktorski, Tzung-Pei Hong, Matin Pirouz:
A GA-based Framework for Mining High Fuzzy Utility Itemsets. 2708-2715 - Matheus Araújo, Louis Kazaglis, Conrad Iber, Jaideep Srivastava:
A Data-Driven Approach for Continuous Adherence Predictions in Sleep Apnea Therapy Management. 2716-2725 - Vladimir Janjic, Michael Vinov, Thomas Given-Wilson, Axel Legay, Euan Blackledge, R. Arredouani, George Stylianou, Wanting Huang, Juliana Küster Filipe Bowles, Andreas Francois Vermeulen, Agastya Silvina, Marios Belk, Christos Fidas, Andreas Pitsillides, M. Kumar, Michael Rossbory:
The SERUMS tool-chain: Ensuring Security and Privacy of Medical Data in Smart Patient-Centric Healthcare Systems. 2726-2735 - Md Faisal Kabir, Simone A. Ludwig:
Classification Models and Survival Analysis for Prostate Cancer Using RNA Sequencing and Clinical Data. 2736-2745 - Yunus Emre Karazag, Sultan Turhan, Ozgun Pinarer, Ahmet Teoman Naskali:
Regional Analysis of Death Rate due to Air Pollution in Turkey and its Neighbors. 2746-2755 - Jeffrey Lienert, Felix Reed-Tsochas, Laura M. Koehly, Christopher Steven Marcum:
Using hospital administrative data to infer patient-patient contact via the consistent co-presence algorithm. 2756-2762 - Rutuja Mahajan, William L. Romine, Michele Miller, Tanvi Banerjee:
Analyzing Public Outlook towards Vaccination using Twitter. 2763-2772 - Peichang Shi, Aryya Gangopadhyay, Carolyn Owens, Brenda Blunt, Christine Grogan:
A hybrid model using LSTM and decision tree for mortality prediction and its application in provider performance evaluation. 2773-2781 - Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Single-cell regulatory network inference and clustering from high-dimensional sequencing data. 2782-2789 - Jaya Shankar Vuppalapati, Santosh Kedari, Anitha Ilapakurti, Chandrasekar Vuppalapati, Sharat Kedari, Rajasekar Vuppalapati:
The Development of Machine Learning Infused Outpatient Prognostic Models for tackling Impacts of Climate Change and ensuring Delivery of Effective Population Health Services. 2790-2799 - Andrew Wen, Yanshan Wang, Vinod C. Kaggal, Sijia Liu, Hongfang Liu, Jungwei Fan:
Enhancing Clinical Information Retrieval through Context-Aware Queries and Indices. 2800-2807 - Reham M. Alamro, Abdou S. Youssef:
Transpose-based Integrated Data Reduction Techniques for Speeding up Classifier Training. 2808-2816 - Xishuang Dong, Hsiang-Huang Wu, Yuzhong Yan, Lijun Qian:
Hierarchical Transfer Convolutional Neural Networks for Image Classification. 2817-2825 - Kelum Gajamannage, Randy C. Paffenroth:
Reconstruction of Agents' Corrupted Trajectories of Collective Motion Using Low-rank Matrix Completion. 2826-2834 - Mikhail Genkin, Frank Dehne:
Autonomic Workload Change Classification and Prediction for Big Data Workloads. 2835-2844 - Pei Guo, Chen Liu, Yan Tang, Jianwu Wang:
Parallel Gradient Boosting based Granger Causality Learning. 2845-2854 - Muhammad Rizal Khaefi, Hendrik, Dharani Dhar Burra, Rio Fandi Dianco, Dikara Maitri Pradipta Alkarisya, Muhammad Rheza Muztahid, Annissa Zahara, George Hodge, Rajius Idzalika:
Modelling Wealth from Call Detail Records and Survey Data with Machine Learning: Evidence from Papua New Guinea. 2855-2864 - Eric Kightley, Stephen Becker:
One-Pass Sparsified Gaussian Mixtures. 2865-2870 - Carson K. Leung, Alfredo Cuzzocrea, Jiaxing Jason Mai, Deyu Deng, Fan Jiang:
Personalized DeepInf: Enhanced Social Influence Prediction with Deep Learning and Transfer Learning. 2871-2880 - Shusheng Li, Wenbo He:
VidAnomaly: LSTM-Autoencoder-Based Adversarial Learning for One-Class Video Classification With Multiple Dynamic Images. 2881-2890 - Yin Luo, Haishan Feng, Xuanlong Weng, Ke Huang, Huang Zheng:
A novel oversampling method based on SeqGAN for imbalanced text classification. 2891-2894 - Bing Ma, Haifeng Sun, Jingyu Wang, Qi Qi:
Attention-based Multi-layer Chinese Word Embedding. 2895-2902 - Amit Pande, Kai Ni, Venkataramani Kini:
SWAG: Item Recommendations using Convolutions on Weighted Graphs. 2903-2912 - Shrey Shrivastava, Dhaval Patel, Anuradha Bhamidipaty, Wesley M. Gifford, Stuart A. Siegel, Venkata Sitaramagiridharganesh Ganapavarapu, Jayant R. Kalagnanam:
DQA: Scalable, Automated and Interactive Data Quality Advisor. 2913-2922 - Fangchen Sun, Xiaotong Suo, Nishad Kamat, Feng Mao, Stephen D. Guo, Yitao Yao, Paritosh Malaviya, Kushal Bhatt, Anurag Gupta, Mridul Jain, Kannan Achan:
Recovery-oriented Big Data Computing for Exactly Once Message Processing. 2923-2930 - Dabeeruddin Syed, Shady S. Refaat, Haitham Abu-Rub, Othmane Bouhali, Ameema Zainab, Le Xie:
Averaging Ensembles Model for Forecasting of Short-term Load in Smart Grids. 2931-2938 - Kei Takahata, Takao Miura:
Q-Learning With Kalman Filters. 2939-2947 - T. Warren de Wit, Vineetha Menon:
Informed Trading Support for the Amateur Investoron the New York Stock Exchange. 2948-2955 - Pratyush Yadav, Nikhila Remala, Nargis Pervin:
RecCite: A Hybrid Approach to Recommend Potential Papers. 2956-2964 - Can Yao, Hai Huang, Longxuan Ma, Ze Yang, Lei Zhang:
Virtual-Link Representation for Link Prediction. 2965-2974 - Ameema Zainab, Shady S. Refaat, Dabeeruddin Syed, Ali Ghrayeb, Haitham Abu-Rub:
Faulted Line Identification and Localization in Power System using Machine Learning Techniques. 2975-2981 - Rashid Zaman, Alfredo Cuzzocrea, Marwan Hassani:
An Innovative Online Process Mining Framework for Supporting Incremental GDPR Compliance of Business Processes. 2982-2991 - Lingxin Zhang, Qi Qi, Jingyu Wang, Haifeng Sun, Jianxin Liao:
Multi-task Deep Reinforcement Learning for Scalable Parallel Task Scheduling. 2992-3001 - Ryan Bogutz, Yuri Pradkin, John S. Heidemann:
Identifying Important Internet Outages. 3002-3007 - Sunshine Chong, Andrés Abeliuk:
Quantifying the Effects of Recommendation Systems. 3008-3015 - Shanni Lam, Jacob van der Leeuw, Wayne Ying, Zachary Dodds, Henry Coxe:
Computing as Curricular Peripheral. 3016-3020 - Jun Lin, Glenna Tremblay-Taylor, Guanyi Mou, Di You, Kyumin Lee:
Detecting Fake News Articles. 3021-3025 - Anne Lin, Andrés Abeliuk, Emilio Ferrara:
Effects of Network Structure on Subjective Preference Diversity. 3026-3031 - Allen Mao, Daniel Garijo, Shobeir Fakhraei:
SoMEF: A Framework for Capturing Scientific Software Metadata from its Documentation. 3032-3037 - Alex Morehead, Lauren Ogden, Gabe Magee, Ryan Hosler, Bruce White, George O. Mohler:
Low Cost Gunshot Detection using Deep Learning on the Raspberry Pi. 3038-3044 - Andrew Stanhope, Hao Sha, Danielle Barman, Mohammad Al Hasan, George O. Mohler:
Group Link Prediction. 3045-3052 - William Tanner, Esra Akbas, Mir Hasan:
Paper Recommendation Based on Citation Relation. 3053-3059 - Danielle Alves Batista, Tim Weingärtner:
ArchContract: using smart contracts for disposition. 3060-3065 - Osman Din:
Towards a Flexible System Architecture for Automated Knowledge Base Construction Frameworks. 3066-3071 - Nuno Freire, Sjors de Valk:
Automated interpretability of linked data ontologies: : an evaluation within the cultural heritage domain. 3072-3079 - Emily Goodmann, M. A. Matienzo, Shawn VanCour, William Vanden Dries:
Building the National Radio Recordings Database: A Big Data Approach to Documenting Audio Heritage. 3080-3086 - Hoda Amal Hamouda, Jessica Bushey, Victoria L. Lemieux, James Stewart, Corinne Rogers, James A. D. Cameron, Ken Thibodeau, Chen Feng:
Extending the Scope of Computational Archival Science: A Case Study on Leveraging Archival and Engineering Approaches to Develop a Framework to Detect and Prevent "Fake Video". 3087-3097 - Gregory Jansen, Aaron Coburn, Adam Soroka, Richard Marciano:
Using Data Partitions and Stateless Servers to Scale Up Fedora Repositories. 3098-3102 - Gregory Jansen:
Digital Legacies on Paper: Reading Punchcards with Computer Vision. 3103-3108 - Eric Kaltman:
Preliminary Analysis of a Large-Scale Digital Entertainment Development Archive: A Case Study of the Entertainment Technology Center's Projects. 3109-3115 - Shadrack Katuu:
Enterprise Architecture - A Value Proposition for Records Professionals. 3116-3125 - Richard Marciano, Danish Mir, Connor Mullane, Emery Patterson, Debashish Pradhan, James Santos, Britton Schams, Hilary Szu Yin Shiue, Andy Jose Silva, Mayhah Suri, Tahura Turabi, Sarah Agarrat, Mirielle Vasselli, Jiale Xu, Hannah Frisch, Margaret Rose Hunt, Kanishka Jain, Genevieve Kocienda, Hannah Krauss, Chenxi Liu, Mary McKinley:
Reframing Digital Curation Practices through a Computational Thinking Framework. 3126-3135 - Nathaniel Payne:
An Intelligent Class: The Development Of A Novel Context Capturing Framework Supporting The Functional Auto-Classification Of Records. 3136-3145 - William Underwood, Richard Marciano:
Computational Thinking in Archival Science Research and Education. 3146-3152 - Lyneise Williams:
What Computational Archival Science Can Learn from Art History and Material Culture Studies. 3153-3155 - Nazar Akrami, Johan Fernquist, Tim Isbister, Lisa Kaati, Björn Pelzer:
Automatic Extraction of Personality from Text: Challenges and Opportunities. 3156-3164 - Meznah A. Alamro, Yu Zhuang, Ahmad O. Aseeri, Mohammed Saeed Alkatheiri:
Examination of Double Arbiter PUFs on Security against Machine Learning Attacks. 3165-3171 - Shin-Ying Huang, Tzu-Hsien Chuang, Shi-Meng Huang, Tao Ban:
Malicious URL Linkage Analysis and Common Pattern Discovery. 3172-3179 - Kaifu Jin, Xi Zhang, Jiayuan Zhang:
Learning to Generate Diverse and Authentic Reviews via an Encoder-Decoder Model with Transformer and GRU. 3180-3189 - Nobuyuki Kanaya, Yu Tsuda, Yuuki Takano, Daisuke Inoue:
Byakko: Automatic Whitelist Generation based on Occurrence Distribution of Features of Network Traffic. 3190-3199 - Max Landauer, Florian Skopik, Markus Wurzenberger, Wolfgang Hotwagner, Andreas Rauber:
A Framework for Cyber Threat Intelligence Extraction from Raw Log Data. 3200-3209 - Seng Pei Liew, Satoshi Ikeda:
Detecting Adversary using Windows Digital Artifacts. 3210-3215 - Pierrick Robic-Butez, Thu Yein Win:
Detection of Phishing websites using Generative Adversarial Network. 3216-3221 - Peter Schneider:
Do's and Don'ts of Distributed Intrusion Detection for Industrial Network Topologies. 3222-3231 - Casey Wilson, Xenia Mountrouidou, Anna Little:
Worth the Wait? Time Window Feature Optimization for Attack Classification. 3232-3241 - Prosper Kandabongee Yeng, Bian Yang, Einar Arthur Snekkenes:
Framework for Healthcare Security Practice Analysis, Modeling and Incentivization. 3242-3251 - Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin:
Can Machine/Deep Learning Classifiers Detect Zero-Day Malware with High Accuracy? 3252-3259 - Jitendra Kumar, Michael C. Crow, Ranjeet Devarakonda, Michael Giansiracusa, Kavya Guntupally, Joseph V. Olatt, Zach Price, Harold A. Shanafield, Alka Singh:
Provenance-aware workflow for data quality management and improvement for large continuous scientific data streams. 3260-3266 - Vung Pham, Ngan V. T. Nguyen, Jie Li, Jon R. Hass, Yong Chen, Tommy Dang:
MTSAD: Multivariate Time Series Abnormality Detection and Visualization. 3267-3276 - Xiaobo Xue Romeiko, Zhijian Guo, Yulei Pang:
Comparison of Support Vector Machine and Gradient Boosting Regression Tree for Predicting Spatially Explicit Life Cycle Global Warming and Eutrophication Impacts: A case study in corn production. 3277-3284 - Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin:
The Performance of LSTM and BiLSTM in Forecasting Time Series. 3285-3292 - Hao Van, Huyen N. Nguyen, Rattikorn Hewett, Tommy Dang:
HackerNets: Visualizing Media Conversations on Internet of Things, Big Data, and Cybersecurity. 3293-3302 - Oswaldo Artiles, Fahad Saeed:
GPU-SFFT: A GPU based parallel algorithm for computing the Sparse Fast Fourier Transform (SFFT) of k-sparse signals. 3303-3311 - Wendy K. Tam Cho, Yan Y. Liu:
Parallel Hybrid Metaheuristics with Distributed Intensification and Diversification for Large-scale Optimization in Big Data Statistical Analysis. 3312-3320 - Tian Gao, Jianxin Sun, Feiyu Zhu, Henry Akrofi Doku, Yu Pan, Harkamal Walia, Hongfeng Yu:
Plant Event Detection from Time-Varying Point Clouds. 3321-3329 - Soulaimane Guedria, Noël De Palma, Félix Renard, Nicolas Vuillerme:
Auto-CNNp: a component-based framework for automating CNN parallelism. 3330-3339 - Haoyu Huang, Shahram Ghandeharizadeh:
An Evaluation of RDMA-based Message Passing Protocols. 3340-3349 - Ruizhu Huang, Weijia Xu, Yinzhi Wang, Silvia Liverani, Ann E. Stapleton:
Performance Comparison of Julia Distributed Implementations of Dirichlet Process Mixture Models. 3350-3354 - Zongze Li, Song Fu:
Accelerating RNN on FPGA with Efficient Conversion of High-Level Designs to RTL. 3355-3364 - Juan Lin, Hui Zhang:
View Selection in Knot Deformation. 3365-3372 - Li-Chen Liu, Meng-Huang Lee, Shin-Hung Chang, Ray-I Chang, Yu-Jung Chang, Jan-Ming Ho:
Constructing Suffix Array of Next-Generation Sequencing upon In-Memory Lookup Cloud and MapReduce. 3373-3378 - Karl Mason, Sadegh Vejdan, Santiago Grijalva:
An "On The Fly" Framework for Efficiently Generating Synthetic Big Data Sets. 3379-3387 - Atsuya Nasu, Kenji Yoneo, Masao Okita, Fumihiko Ino:
Transparent In-memory Cache Management in Apache Spark based on Post-Mortem Analysis. 3388-3396 - Faisal F. Qarah, Yi-Cheng Tu:
A Fast Exact Viewshed Algorithm on GPU. 3397-3405 - Guangchen Ruan, Hui Zhang:
Parallelized Topological Relaxation Algorithm. 3406-3415 - Ranjini Subramanian, Hui Zhang:
Parallel R Computing on the Web. 3416-3423 - Jianxin Sun, Chunxia Wu, Yufeng Ge, Yusong Li, Hongfeng Yu:
Spatial-Temporal Scientific Data Clustering via Deep Convolutional Neural Network. 3424-3429 - Fei Wang, Guoyang Chen, Weifeng Zhang, Tiark Rompf:
Parallel Training via Computation Graph Transformation. 3430-3439 - Claudio A. Ardagna, Valerio Bellandi, Paolo Ceravolo, Ernesto Damiani, Rino Finazzo:
A Methodology for Cross-Platform, Event-Driven Big Data Analytics-as-a-Service. 3440-3448 - Glaucia Melo dos Santos, Paulo S. C. Alencar, Don Cowan:
Context-Augmented Software Development in Traditional and Big Data Projects: Literature Review and Preliminary Framework. 3449-3457 - Hyunseop Park, Hyunwoong Ko, Yung-Tsun Tina Lee, Hyunbo Cho, Paul Witherell:
A Framework for Identifying and Prioritizing Data Analytics opportunities in Additive Manufacturing. 3458-3467 - Jeffrey S. Saltz, Alex Sutherland:
SKI: An Agile Framework for Data Science. 3468-3476 - Jeffrey S. Saltz, Ivan Shamshurin:
Achieving Agile Big Data Science: The Evolution of a Team's Agile Process Methodology. 3477-3485 - Mehmet Selman Sezgin, Ahmet Tugrul Bayrak, Olcay Taner Ytldtz:
A Hybrid Approach to Dynamic Enterprise Data Platform. 3486-3492 - Dihia Boulegane, Nedeljko Radulovic, Albert Bifet, Ghislain Fiévet, Jimin Sohn, Yeonwoo Nam, Seojeong Yu, Dong-Wan Choi:
Real-Time Machine Learning Competition on Data Streams at the IEEE Big Data 2019. 3493-3497 - Tobias Grubenmann, Daniele Dell'Aglio, Abraham Bernstein:
Collaborative Streaming: Trust Requirements for Price Sharing. 3498-3505 - Austin Harris, Jose Stovall, Mina Sartipi:
MLK Smart Corridor: An Urban Testbed for Smart City Applications. 3506-3511 - Sören Henning, Wilhelm Hasselbring:
Scalable and Reliable Multi-Dimensional Aggregation of Sensor Data Streams. 3512-3517 - Shawndra Hill, Anthony M. Colas, H. Andrew Schwartz, Gordon Burtch:
TV Ad Events and Digital Search: On the Selection of Outcome Measures. 3518-3528 - Sebastian Trinks, Carsten Felden:
Image Mining for Real Time Quality Assurance in Rapid Prototyping. 3529-3534 - Muzammil Bashir, Elke A. Rundensteiner, Ramoza Ahsan:
A deep learning approach to trespassing detection using video surveillance data. 3535-3544 - Seok-Jun Bu, Sung-Bae Cho:
Classifying In-vehicle Noise from Multi-channel Sound Spectrum by Deep Beamforming Networks. 3545-3552 - Sashikanth Gurram, Vijayaraghavan Sivaraman, Jonathan T. Apple, Abdul Rawoof Pinjari:
Agent-based modeling to simulate road travel using Big Data from smartphone GPS: An application to the continental United States. 3553-3562 - Mio Hosoe, Masashi Kuwano, Taku Moriyama, Kosuke Miyazaki, Masaki Ito:
Travel Pattern Extraction from Smart Card Data using Data Polishing. 3563-3572 - Somayah Karsoum, Le Gruenwald, Clark Barrus, Eleazar Leal:
Using Timed Sequential Patterns in the Transportation Industry. 3573-3582 - Jin-Young Kim, Kyunghyun Lim, Sung-Bae Cho:
Personalized POI Embedding for Successive POI Recommendation with Large-scale Smart Card Data. 3583-3589 - Ivens Portugal, Paulo S. C. Alencar, Donald D. Cowan:
Modeling Dynamic Spatial-Temporal Cluster Relationships. 3590-3598 - Joseph D. Preece, John M. Easton:
Blockchain Technology as a Mechanism for Digital Railway Ticketing. 3599-3606 - Carlos A. Barajas, Matthias K. Gobbert, Jianwu Wang:
Performance Benchmarking of Data Augmentation and Deep Learning for Tornado Prediction. 3607-3615 - Matt Baughman, Nifesh Chakubaji, Hong-Linh Truong, Krists Kreics, Kyle Chard, Ian T. Foster:
Measuring, Quantifying, and Predicting the Cost-Accuracy Tradeoff. 3616-3622 - Wanghu Chen, Chao Wang, Jing Li, Bo Yang, Yang Liu, Jianwu Wang:
Benchmarking Discretisation Level of Continuous Attributes: Theoretical and Experimental Approaches. 3623-3631 - Md Abdul Motaleb Faysal, Shaikh Arifuzzaman:
Fast Stochastic Block Partitioning using a Single Commodity Machine. 3632-3639 - Qiang Fu, Yufan Zhuang, Jiaxin Gu, Yushu Zhu, Huihui Qin, Xin Guo:
Search for K: Assessing Five Topic-Modeling Approaches to 120, 000 Canadian Articles. 3640-3647 - Devarshi Ghoshal, Kesheng Wu, Eric Pouyoul, Erich Strohmaier:
Analysis and Prediction of Data Transfer Throughput for Data-Intensive Workloads. 3648-3657 - Divya Goel, Amaresh Nayak:
Reactive Microservices in Commodity Resources. 3658-3665 - Suneuy Kim, Yuvraj Singh Kanwar:
GeoYCSB: A Benchmark Framework for the Performance and Scalability Evaluation of NoSQL Databases for Geospatial Workloads. 3666-3675 - Shuwen Liang, Zhi Qiao, Sihai Tang, Jacob Hochstetler, Song Fu, Weisong Shi, Hsing-Bung Chen:
An Empirical Study of Quad-Level Cell (QLC) NAND Flash SSDs for Big Data Applications. 3676-3685 - Paul Lu, Owen Randall, Emma McDonald:
An Empirical Study of Rabin Fingerprinting Parameters. 3686-3691 - Kenta Machida, Osamu Tatebe:
GHOSTZ PW/GF: Distributed Parallel Homology Search System for Large-scale Metagenomic Analysis. 3692-3700 - Hamza Mustafa, Eleazar Leal, Le Gruenwald:
An Experimental Comparison of GPU Techniques for DBSCAN Clustering. 3701-3710 - Alessio Pagliari, Fabrice Huet, Guillaume Urvoy-Keller:
Towards a High-Level Description for Generating Stream Processing Benchmark Applications. 3711-3716 - Bibek Paudel, Dragi Kocev, Tome Eftimov:
Mix and Rank: A Framework for Benchmarking Recommender Systems. 3717-3726 - Yinghua Qin, Gheorghi Guzun:
Multidimensional Preference Query Optimization on Infrastructure Monitoring Systems. 3727-3736 - Marco Strutz, Hermann Heßling, Peter Hufnagl:
A Gray-box Testing Method for Divide&Conquer in Image Processing. 3737-3743 - Muaz Twaty, Amine Ghrab, Sabri Skhiri:
GraphOpt: a Framework for Automatic Parameters Tuning of Graph Processing Frameworks. 3744-3753 - Eftim Zdravevski, Petre Lameski, Ace Dimitrievski, Marek Grzegorowski, Cas Apanowicz:
Cluster-size optimization within a cloud-based ETL framework for Big Data. 3754-3763 - Yuto Onga, Shingo Fujiyama, Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi:
Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning. 3764-3769 - Lauro Caetano, Marx L. Viana, Elder Cirilo, Paulo S. C. Alencar, Carlos Lucena:
Using Governance and Adaptive Normative Multiagent Systems for Dynamic Vehicle Platoon Formation. 3770-3774 - Emad A. Felemban, Faizan Ur Rehman, Asad Ali Biabani, Atif Naseer, Usama AlAbdulwahab:
Towards Building an Interactive Platform for Analyzing Movement of Buses in Hajj. 3775-3778 - Arman Hasanzadeh, Xi Liu, Nick Duffield, Krishna R. Narayanan:
Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction. 3779-3788 - Vikram Krishnamurthy, Kusha Nezafati, Juhyun Bae, Mehmet Emre Gursoy, Mian Zhong, Vikrant Singh:
Classification of Driving Behavior Events Utilizing Kinematic Classification and Machine Learning for Down Sampled Time Series Data. 3789-3796 - Michael Lee, Beichen Yang, Travis Atkison:
802.11ac and p in a Simulated VANET Environment. 3797-3802 - Hao Peng, Nicholas Klepp, Mohammadhossein Toutiaee, Ismailcem Budak Arpinar, John A. Miller:
Knowledge and Situation-Aware Vehicle Traffic Forecasting. 3803-3812 - Jose Stovall, Austin Harris, Amanda O'Grady, Mina Sartipi:
Scalable Object Tracking in Smart Cities. 3813-3819 - Chen Wang, Aibek Musaev:
Preliminary Research on Vehicle Speed Detection using Traffic Cameras. 3820-3823 - Weijia Xu, Natalia Ruiz-Juri, Kelly A. Pierce, Ruizhu Huang, Joel Meyer, Jen Duthie:
Detecting Pedestrian Crossing Events in Large Video Data from Traffic Monitoring Cameras. 3824-3831 - Hongzhi Yang, Chieh-Feng Chiang, Arbee L. P. Chen:
Discovering High Demanding Bus Routes Using Farecard Data. 3832-3837 - Lijun Yu, Peng Chen, Wenhe Liu, Guoliang Kang, Alexander G. Hauptmann:
Training-free Monocular 3D Event Detection System for Traffic Surveillance. 3838-3843 - Sheng Zhang, Haoyang Che, Jiacai Zhang, Yucong Duan:
Exploring the Brand Competition Patterns of China's Auto Market with Massive Sales Leads. 3844-3853 - Haoyu Huang, Shahram Ghandeharizadeh:
An Evaluation of RDMA-based Message Passing Protocols. 3854-3863 - Johannes Luong, Dirk Habich, Wolfgang Lehner:
A Technical Perspective of DataCalc - Ad-hoc Analyses on Heterogeneous Data Sources. 3864-3873 - Sean Rooney, Peter Urbanetz, Chris Giblin, Daniel Bauer, Florian Froese, Luis Garcés-Erice, Sasa Tomic:
Kafka: the Database Inverted, but Not Garbled or Compromised. 3874-3880 - Elif Cansu Yildiz, Engin Unal, Hakan Tüzün, Doruk Eren Aktas, Mehmet S. Aktas:
On the RESTful Web Services for Managing Application Virtualization Environments. 3881-3886 - Anne Berres, Piljae Im, Kuldeep R. Kurte, Melissa R. Allen-Dumas, Gautam S. Thakur, Jibonananda Sanyal:
A Mobility-Driven Approach to Modeling Building Energy. 3887-3895 - Abhishek Gupta, Yew-Soon Ong, Mojtaba Shakeri, Xu Chi, Allan NengSheng Zhang:
The Blessing of Dimensionality in Many-Objective Search: An Inverse Machine Learning Insight. 3896-3902 - Zhuoyi Lin, Lei Feng, Chee-Keong Kwoh, Chi Xu:
Fast Top-N Personalized Recommendation on Item Graph. 3903-3908 - Harshitha Meda, Lauren B. Davis, Chrysafis Vogiatzis:
Analysis of Hurricane Matthew 2016 Data to Estimate Airline Passengers Disruption. 3909-3915 - Yoshiki Ogawa, Yuki Akiyama, Yoshihide Sekimoto, Ryosuke Shibasaki:
Estimation of Transactional Network Data Between Branch Offices using Transactional Big Data Throughout Japan. 3916-3924 - Mojtaba Shakeri, Abhishek Gupta, Yew-Soon Ong, Xu Chi, Allan Zhang NengSheng:
Coping with Big Data in Transfer Optimization. 3925-3932 - Junxian Song, Rong Wen, Chi Xu, Joel Wei En Tay:
Service Time Prediction for Last-Yard Delivery. 3933-3938 - Kentaroh Toyoda, Mojtaba Shakeri, Xu Chi, Allan N. Zhang:
Performance Evaluation of Ethereum-based On-chain Sensor Data Management Platform for Industrial IoT. 3939-3946 - Gokhan Mert Yagli, Joel Wei En Tay, Dazhi Yang:
Ensemble kriging for environmental spatial processes. 3947-3950 - Venkat R. Dasari, Stephen Allen, Scott E. Brown:
Dynamic visualization of large scale tactical network simulations. 3951-3954 - Venkat R. Dasari, David M. Alexander, Scott E. Brown, Jenmfer Brooks, Brian Panneton, Simon Su:
Analysis of High fidelity ns-3 simulations to study real-time application performance in tactical wireless networks. 3955-3959 - Matthew Dwyer, Nicole Kaff, Jacob Cohen, Michael Frauenhoffer:
Leveraging Comprehensive Data Analysis to Inform Parallel HPC Workloads. 3960-3967 - Christopher Koehler, Andrew Berger, Raksha Rajashekar, Thomas Wischgoll, Simon Su:
Dynamic Collaborative Visualization Ecosystem to Support the Analysis of Large-Scale Disparate Data. 3968-3977 - Christopher Mendoza, Venkat R. Dasari, Michael P. McGarry:
Detecting Network Soft-failures with the Network Link Outlier Factor (NLOF). 3978-3983 - Vincent Perry, Wendy Gao, Michael Chen, Joseph Michael Barton, Simon Su:
Visualization Techniques for Large-Scale Monte Carlo Simulation. 3984-3991 - Simon Su, Vincent Perry, Venkat R. Dasari:
Hybrid 2D and 3D Visual Analytics of Network Simulation Data. 3992-3999 - Luca Cappelletti, Stefano Valtolina, Giorgio Valentini, Marco Mesiti, Elisa Bertino:
On the Quality of Classification Models for Inferring ABAC Policies from Access Logs. 4000-4007 - Daniel Cunnington, Mark Law, Alessandra Russo, Elisa Bertino, Seraphin B. Calo:
Towards a Neural-Symbolic Generative Policy Model. 4008-4016 - Maryam Davari, Elisa Bertino:
Access Control Model Extensions to Support Data Privacy Protection based on GDPR. 4017-4024 - Keith Grueneberg, Seraphin B. Calo, P. Dewan, Dinesh C. Verma, Tristan O'Gorman:
A Policy-based Approach for Measuring Data Quality. 4025-4031 - Franck Le, Enriquillo Valdez, Pau-Chen Cheng:
Counting Devices: Revisiting Existing Approaches in Today's Settings. 4032-4037 - Dinesh C. Verma, Seraphin B. Calo, Elisa Bertino, Alessandra Russo, Graham White:
Policy based Ensembles for applying ML on Big Data. 4038-4044 - Brian Wang, Mani B. Srivastava:
Enabling Privacy Policies for mHealth Studies. 4045-4054 - Eduardo Cruz, Carmen Vaca, Allan Avendaño:
Mining top-up transactions and online classified ads to predict urban neighborhoods socioeconomic status. 4055-4062 - Emad A. Felemban, Faizan Ur Rehman, Hassan Wadood, Atif Naseer:
Towards Building Evacuation Planning Platform using Multimodal Transportation for a Large Crowd. 4063-4066 - Daniel R. Harris, Chris Delcher:
bench4gis: Benchmarking Privacy-aware Geocoding with Open Big Data. 4067-4070 - Keisuke Ikeda, Kazufumi Kojima, Masahiro Tani:
Short Paper: Evaluation of Location Estimation Method That Focuses on Geographical Proximity of Friends. 4071-4074 - Soo-hyun Joo, Yoshiki Ogawa, Yoshihide Sekimoto:
Decision-Making System for Road-Recovery Considering Human Mobility by Applying Deep Q-Network. 4075-4084 - Kazufumi Kojima, Keisuke Ikeda, Masahiro Tani:
Short Paper: User Identification across Online Social Networks Based on Similarities among Distributions of Friends' Locations. 4085-4088 - Aude Marzuoli, Fengmei Liu:
Monitoring of natural disasters through anomaly detection on mobile phone data. 4089-4098 - Arif Masrur, Gautam S. Thakur, Kevin A. Sparks, Rachel Palumbo, Donna J. Peuquet:
Co-location Pattern Mining of Geosocial Data to Characterize Urban Functional Spaces. 4099-4102 - Dimitar Misev, Peter Baumann, Dimitris Bellos, Stefan Wiehle:
BigDataCube: A Scalable, Federated Service Platform for Copernicus. 4103-4112 - Mohit Mittal, Panote Siriaraya, Chonho Lee, Yukiko Kawai, Takashi Yoshikawa, Shinji Shimojo:
Accurate Spatial Mapping of Social Media Data with Physical Locations. 4113-4116 - Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar:
Spatio-temporal classification at multiple resolutions using multi-view regularization. 4117-4120 - Minh Hieu Nguyen, Sanghyun Yoon, Sangyoon Park, Joon Heo:
A demonstration of B-EagleV Visualizing massive point cloud directly from HDFS. 4121-4124 - Jan Kristof Nidzwetzki, Ralf Hartmut Güting:
Demo Paper: Large Scale Spatial Data Processing With User Defined Filters In BBoxDB. 4125-4128 - A. B. Siddique, Ahmed Eldawy, Vagelis Hristidis:
Euler++: Improved Selectivity Estimation for Rectangular Spatial Records. 4129-4133 - Vinit Veerendraveer Singh, Scott Sorensen, Chandra Kambhamettu:
cPSITRES: A collaborative system for analysis of Big Data on sea ice. 4134-4137 - Brian Thompson, Dave Cedel, Jeremy Martin, Kristen Snee, Alex Cheung:
SEXTANT: A Computational Framework for Scalable and Efficient Correlation of Spatio-Temporal Trajectories. 4138-4147 - Christian Beecks, Fabian Berns, Kjeld Willy Schmidt:
Ptolemaic Indexing for Managing and Querying Internet of Things (IoT) Data. 4148-4151 - Fabian Berns, Kjeld Willy Schmidt, Alexander Grass, Christian Beecks:
A New Approach for Efficient Structure Discovery in IoT. 4152-4156 - Morgan K. Geldenhuys, Lauritz Thamsen, Kain Kordian Gontarska, Felix Lorenz, Odej Kao:
Effectively Testing System Configurations of Critical IoT Analytics Pipelines. 4157-4162 - Guillaume Habault, Yasutaka Nishimura, Kiyohito Yoshihara, Chihiro Ono:
Detecting errors in short-term electricity demand forecast using people dynamics. 4163-4168 - Olivera Kotevska, Kalyan S. Perumalla, Juan Lopez Jr.:
Kensor: Coordinated Intelligence from Co-Located Sensors. 4169-4174 - Ebelechukwu Nwafor, Habeeb Olufowobi:
Towards an Interactive Visualization Framework for IoT Device Data Flow. 4175-4178 - Sayed Khushal Shah, Zeenat Tariq, Yugyung Lee:
IoT based Urban Noise Monitoring in Deep Learning using Historical Reports. 4179-4184 - Sihai Tang, Zhaochen Gu, Qing Yang, Song Fu:
Smart Home IoT Anomaly Detection based on Ensemble Model Learning From Heterogeneous Data. 4185-4190 - Zeenat Tariq, Sayed Khushal Shah, Yugyung Lee:
Speech Emotion Detection using IoT based Deep Learning for Health Care. 4191-4196 - Phuong-Binh Vo, Trong-Dat Phan, Minh-Son Dao, Koji Zettsu:
Association Model between Visual Feature and AQI Rank Using Lifelog Data. 4197-4200 - Zekun Xu, Deovrat Kakde, Arin Chaudhuri:
Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection. 4201-4207 - Bin Yu, Giovanna Graciani, Anderson C. A. Nascimento, Juhua Hu:
Cost-adaptive Neural Networks for Peak Volume Prediction with EMM Filtering. 4208-4213 - Alex Kaplunovich, Karuna P. Joshi, Yelena Yesha:
Scalability Analysis of Blockchain on a Serverless Cloud. 4214-4222 - Enrico Tedeschi, Tor-Arne S. Nordmo, Dag Johansen, Håvard D. Johansen:
Predicting Transaction Latency with Deep Learning in Proof-of-Work Blockchains. 4223-4231 - Cristian Bucur, Eduard Babulak:
Security validation testing environment in the cloud. 4240-4247 - Jan William Johnsen, Katrin Franke:
The impact of preprocessing in natural language for open source intelligence and criminal investigation. 4248-4254 - Igor Kotsiuba, Inna Skarga-Bandurova, Alkiviadis Giannakoulias, Oksana Bulda:
Basic Forensic Procedures for Cyber Crime Investigation in Smart Grid Networks. 4255-4264 - Igor Kotsiuba, Inna Skarga-Bandurova, Alkiviadis Giannakoulias, Mykhailo Chaikin, Aleksandar Jevremovic:
Technique for Finding and Investigating the Strongest Combinations of Cyberattacks on Smart Grid Infrastructure. 4265-4272 - Sanjay Kumar, Harald P. E. Vranken, Joost van Dijk, Timo Hämäläinen:
Deep in the Dark: A Novel Threat Detection System using Darknet Traffic. 4273-4279 - Ajit Kumar, Vinti Agarwal, Shishir K. Shandilya, Andrii Shalaginov, Saket Upadhyay, Bhawna Yadav:
PACE: Platform for Android Malware Classification and Performance Evaluation. 4280-4288 - Oleksandr A. Letychevskyi, Tetiana Polhul:
Detection of Fraudulent Behavior Using the Combined Algebraic and Machine Learning Approach. 4289-4293 - Ashar Neyaz, Bing Zhou, Narasimha Karpoor:
Comparative Study of Wear-leveling in Solid-State Drive with NTFS File System. 4294-4298 - Naw Safrin Sattar, Shaikh Arifuzzaman, Minhaz F. Zibran, Md Mohiuddin Sakib:
Detecting Web Spam in Webgraphs with Predictive Model Analysis. 4299-4308 - Andrii Shalaginov, Igor Kotsiuba, Asif Iqbal:
Cybercrime Investigations in the Era of Smart Applications: Way Forward Through Big Data. 4309-4314 - Pragati Awasthi, Jerzy Bala, Sebastian Carter:
Forecasting of Trends in Legal Spend Management. 4315-4319 - Qian Han, Yufeng Kou, Derek Snaidauf:
Experimental Evaluation of CNN Parameters for Text Categorization in Legal Document Review. 4320-4324 - Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang:
Image Analytics for Legal Document Review : A Transfer Learning Approach. 4325-4328 - Thanasis Schoinas, Benjamin Guinard, Diba Esbati, Richard Chalk:
Normalisation of SWIFT Message Counterparties with Feature Extraction and Clustering. 4329-4336 - Yajie Su, Hao Lu, Hongzhou Zhang:
Qualitative Mapping Modeling of Criminals' Sense of Security in Theft Cases. 4337-4341 - Takahiro Yamakoshi, Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama:
Japanese Mistakable Legal Term Correction using Infrequency-aware BERT Classifier. 4342-4351 - Yong Zou, Andrew Pat Waldo:
Supervised Key Terms Clustering for Regulatory Monitoring. 4352-4356 - Jarrod Carson, Kane Hollingsworth, Rituparna Datta, Aviv Segev:
Failing & !Falling (F&!F): Learning to Classify Accidents and Incidents in Aircraft Data. 4357-4365 - Suresh K. Choubey, Ryan G. Benton, Tom Johnsten:
Prescriptive Equipment Maintenance: A Framework. 4366-4374 - Sandeep Jeereddy, Ken Kennedy, Eddie Duffy, Annie Walker, Bennie Vorster:
Machine Learning Use Cases for Smart Manufacturing KPIs. 4375-4380 - Qiao Kang, Ankit Agrawal, Alok N. Choudhary, Alex Sim, Kesheng Wu, Rajkumar Kettimuthu, Peter H. Beckman, Zhengchun Liu, Wei-keng Liao:
Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems. 4381-4389 - Sylvie Koziel, Patrik Hilber, Per Westerlund, Ebrahim Shayesteh:
Forecasting cross-border power exchanges through an HVDC line using dynamic modelling. 4390-4394 - Vikram Krishnamurthy, Kusha Nezafati, Vikrant Singh:
Application of Machine Learning and Spatial Bootstrapping to Image Processing for Predictive Maintenance. 4395-4401 - Ivan Melendez, Rolando Dölling, Oliver Bringmann:
Self-supervised Multi-stage Estimation of Remaining Useful Life for Electric Drive Units. 4402-4411 - Hiroko Nagashima, Yuka Kato:
Data Imputation Method based on Programming by Example: APREP-S. 4412-4421 - Adrian Stetco, Anees Mohammed, Sinisa Djurovic, Goran Nenadic, John A. Keane:
Wind Turbine operational state prediction: towards featureless, end-to-end predictive maintenance. 4422-4430 - Dan Chia-Tien Lo, Charles Garnder, Pascal Paschos, Chung Ng:
Subject-Oriented Data Retrieval and Analysis on Sina Weibo. 4431-4434 - Luyi Ma, Jason H. D. Cho, Sushant Kumar, Kannan Achan:
Seasonality-Adjusted Conceptual-Relevancy-Aware Recommender System in Online Groceries. 4435-4443 - Wanshan Yang, Ting Huang, Junlin Zeng, Yan Tang, Lijun Chen, Shivakant Mishra, Youjian Eugene Liu:
Purchase Prediction in Free Online Games via Survival Analysis. 4444-4449 - Elham Azari, Sarma B. K. Vrudhula:
An Energy-Efficient Reconfigurable LSTM Accelerator for Natural Language Processing. 4450-4459 - Zheming Jin, Hal Finkel:
Exploration of OpenCL 2D Convolution Kernels on Intel FPGA, CPU, and GPU Platforms. 4460-4465 - Zheming Jin, Hal Finkel:
A Case Study of k-means Clustering using SYCL. 4466-4471 - Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok, Kaushik Roy:
Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems. 4472-4478 - Steven R. Young, Pravallika Devineni, Maryam Parsa, J. Travis Johnston, Bill Kay, Robert M. Patton, Catherine D. Schuman, Derek C. Rose, Thomas E. Potok:
Evolving Energy Efficient Convolutional Neural Networks. 4479-4485 - Sima Esfandiarpour Borujeni, Ramkumar Harikrishnakumar, Saideep Nannapaneni:
Quantum Grover search-based optimization for innovative material discovery. 4486-4489 - Cristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Katharine Page, Sudip K. Seal:
Learning to Predict Material Structure from Neutron Scattering Data. 4490-4497 - Junghoon Chae, Catherine D. Schuman, Steven R. Young, J. Travis Johnston, Derek C. Rose, Robert M. Patton, Thomas E. Potok:
Visualization System for Evolutionary Neural Networks for Deep Learning. 4498-4502 - Christopher Gropp, Alexander Herzog, Ilya Safro, Paul W. Wilson, Amy W. Apon:
Clustered Latent Dirichlet Allocation for Scientific Discovery. 4503-4511 - Guimu Guo, Jalal Majed Khalil, Da Yan, Virginia P. Sisiopiku:
Realistic Transport Simulation: Tackling the Small Data Challenge with Open Data. 4512-4519 - Alina Lazar, Alexandra Ballow, Ling Jin, C. Anna Spurlock, Alexander Sim, Kesheng Wu:
Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use. 4520-4524 - Payton Linton, William Melodia, Alina Lazar, Deborah A. Agarwal, Ludovico Bianchi, Devarshi Ghoshal, Gilberto Zonta Pastorello, Lavanya Ramakrishnan, Kesheng Wu:
Understanding Data Similarity in Large-Scale Scientific Datasets. 4525-4531 - Edgar Llamas, Ivan Garcia, Andrés Méndez:
Detecting Dependency Between Discrete Random Variables and Application. 4532-4536 - Ryan Mitchell, Loïc Pottier, Steve Jacobs, Rafael Ferreira da Silva, Mats Rynge, Karan Vahi, Ewa Deelman:
Exploration of Workflow Management Systems Emerging Features from Users Perspectives. 4537-4544 - Rafael Ferreira da Silva, Rajiv Mayani, Yuning Shi, Armen R. Kemanian, Mats Rynge, Ewa Deelman:
Empowering Agroecosystem Modeling with HTC Scientific Workflows: The Cycles Model Use Case. 4545-4552 - Rina Singh, Jeffrey A. Graves, Valentine Anantharaj, Sreenivas R. Sukumar:
Evaluating Scientific Workflow Engines for Data and Compute Intensive Discoveries. 4553-4560 - Hong-Jun Yoon, John Gounley, M. Todd Young, Georgia D. Tourassi:
Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts. 4561-4564 - Icaro Alzuru, Aditi Malladi, Andréa M. Matsunaga, Maurício O. Tsugawa, José A. B. Fortes:
Human-Machine Information Extraction Simulator for Biological Collections. 4565-4572 - Mehdi Bahrami, Wei-Peng Chen:
WATAPI: Composing Web API Specification from API Documentations through an Intelligent and Interactive Annotation Tool. 4573-4578 - Pedro Cárdenas, Boguslaw Obara, Georgios Theodoropoulos, Ibad Kureshi:
Analysing Social Media as a Hybrid Tool to Detect and Interpret likely Radical Behavioural Traits for National Security. 4579-4588 - Kyriaki Dimitriadou, Rahul Manghwani, Timothy C. Hoad:
ClusterClean: a Weak Semi-Supervised Approach for Cleaning Data Labels. 4589-4595 - Masafumi Hayashi, Masaki Kobayashi, Masaki Matsubara, Toshiyuki Amagasa, Atsuyuki Morishima:
Incentive Design for Crowdsourced Development of Selective AI for Human and Machine Data Processing: A Case Study. 4596-4601 - Jordan Hosier, Vijay K. Gurbani, Neil Milstead:
Disambiguation and Error Resolution in Call Transcripts. 4602-4607 - Pei-Yu Hou, Jing Ao, Andrew J. Rindos, Shivaramu Keelara, Paula J. Fedorka-Cray, Rada Chirkova:
Collaborative Workflow for Analyzing Large-Scale Data for Antimicrobial Resistance: An Experience Report. 4608-4617 - Munenari Inoguchi, Keiko Tamura, Ryota Hamamoto:
Establishment of Work-Flow for Roof Damage Detection Utilizing Drones, Human and AI based on Human-in-the-Loop Framework. 4618-4623 - Hinako Izumi, Masaki Matsubara, Chiemi Watanabe, Atsuyuki Morishima:
A Microtask Approach to Identifying Incomprehension for Facilitating Peer Learning. 4624-4627 - Sathish K. SankarPandi, Spyros Samothrakis, Luca Citi, Peter Brady:
Active learning without unlabeled samples: generating questions and labels using Monte Carlo Tree Search. 4628-4631 - Hidehiko Shishido, Hansung Kim, Itaru Kitahara:
Super Long Interval Time-Lapse Image Generation for Proactive Preservation of Cultural Heritage Using Crowdsourcing. 4632-4637 - Takafumi Suzuki, Satoshi Oyama, Masahito Kurihara:
Explainable Recommendation Using Review Text and a Knowledge Graph. 4638-4643 - Thi Tran, Paul Rad, Rohit Valecha, H. Raghav Rao:
Misinformation Harms During Crises: When The Human And Machine Loops Interact. 4644-4646 - Kousuke Uo, Masaki Kobayashi, Masaki Matsubara, Yukino Baba, Atsuyuki Morishima:
Active Learning Strategies for Hierarchical Labeling Microtasks. 4647-4650 - Ming-Chen Wang, Vahid Golderzahi, Hsing-Kuo Pao:
Extracting Explainable Deep Representation for Machine Tutoring. 4651-4658 - Shigeaki Yuasa, Takumi Nakai, Takanori Maruichi, Manuel Landsmann, Koichi Kise, Masaki Matsubara, Atsuyuki Morishima:
Towards Quality Assessment of Crowdworker Output Based on Behavioral Data. 4659-4661 - Silvio Alonso, Marx L. Viana, Elder Cirilo, Paulo S. C. Alencar, Carlos Lucena:
Open-Source Innovation in Practice: A Lean-Based Development Process Leveraging Open-Source Big Data Tools. 4662-4671 - Mohsen Dorodchi, Erfan Al-Hossami, Aileen Benedict, Elise Demeter:
Using Synthetic Data Generators to Promote Open Science in Higher Education Learning Analytics. 4672-4675 - Aminul Islam, Fuad Rahman, AKM Shahariar Azad Rabby:
Sankhya: An Unbiased Benchmark for Bangla Handwritten Digits Recognition. 4676-4683 - Monica M. McGill:
Using Collaborative Open Science to Advance K-12 Computing Education. 4684-4686 - Doug Mulholland, Paulo S. C. Alencar, Donald D. Cowan:
iEnvironment: Perspectives on Metadata-Oriented Testing of Research Software. 4687-4690 - Michael Smit:
Code Convention Adherence in Research Data Infrastructure Software: An Exploratory Study. 4691-4700 - Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough:
Volenti non fit injuria: Ransomware and its Victims. 4701-4707 - William Blanc, Lina G. Hashem, Karim O. Elish, Hussain M. J. Almohri:
Identifying Android Malware Families Using Android-Oriented Metrics. 4708-4713 - Vito D'Orazio, James Honaker, Raman Prasady, Michael Shoemate:
Modeling and Forecasting Armed Conflict: AutoML with Human-Guided Machine Learning. 4714-4723 - Johan Fernquist, Oskar Lindholm, Lisa Kaati, Nazar Akrami:
A Study on the Feasibility to Detect Hate Speech in Swedish. 4724-4729 - Christine Hines, Abdou Youssef:
Class Balancing for Fraud Detection in Point Of Sale Systems. 4730-4739 - Haohui Liu:
A Location Independent Machine Learning Approach for Early Fake News Detection. 4740-4746 - Amirreza Niakanlahiji, Lida Safarnejad, Reginald Harper, Bei-Tseng Chu:
IoCMiner: Automatic Extraction of Indicators of Compromise from Twitter. 4747-4754 - Amendra Shrestha, Lisa Kaati, Nazar Akrami:
PRAT - a Tool for Assessing Risk in Written Communication. 4755-4762 - Esra Akbas, Mehmet Emin Aktas:
Network Embedding: on Compression and Learning. 4763-4772 - Md Abdul Motaleb Faysal, Shaikh Arifuzzaman:
Distributed Community Detection in Large Networks using An Information-Theoretic Approach. 4773-4782 - S. M. Shamimul Hasan, Drew Schmidt, Ramakrishnan Kannan, Neena Imam:
A Scalable Graph Analytics Framework for Programming with Big Data in R (pbdR). 4783-4792 - Hubert Naacke, Ke Li, Bernd Amann, Olivier Curé:
Efficient similarity-based alignment of temporally-situated graph nodes with Apache Spark. 4793-4798 - Vijay Walunj, Gharib Gharibi,