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ORCIDBigData Conference 2019: Los Angeles, CA, USA
- Chaitanya 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 (Big Data), 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, Cenk Sahinalp, Madhav 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 Sarka:
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