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ORCID19th ICDM 2019: Beijing, China - Workshops
- Panagiotis Papapetrou, Xueqi Cheng, Qing He:
2019 International Conference on Data Mining Workshops, ICDM Workshops 2019, Beijing, China, November 8-11, 2019. IEEE 2019, ISBN 978-1-7281-4896-0
CDEC-The 2nd International Workshop on Cross-disciplinary Data Exchange and Collaboration
- Yoshiaki Fukami
:
Standardization for Innovation with Data Exchange. 1-4 - Kotaro Fukishima, Akinori Abe, Reina Kawada:
How Will Sense of Values Change during Art Appreciation? 5-12 - Hiroshi Nagaya, Kazuko Uno, Hiroyuki A. Torii:
Tracking Topics of Influential Tweets on Fukushima Disaster Over Long Periods of Time. 13-16 - Yuta Niki, Hiroki Sakaji, Kiyoshi Izumi, Hiroyasu Matsushima:
Causality Existence Classification from Multilingual Texts Using End-to-End LSTM Models. 17-23 - Hiroki Sakaji, Yasutomo Kimura, Kiyoshi Izumi, Hiroyasu Matsushima:
Extraction of Volitional Utterances from Japanese Local Political Corpus. 24-29 - Masahiro Suzuki, Toshiya Katagi, Hiroki Sakaji, Kiyoshi Izumi, Yasushi Ishikawa:
Stock Price Analysis Using Combination of Analyst Reports and Several Documents. 30-36 - Takehiro Tezuka, Lihua Wang, Takuya Hayashi, Seiichi Ozawa:
A Fast Privacy-Preserving Multi-Layer Perceptron Using Ring-LWE-Based Homomorphic Encryption. 37-44 - Teppei Yagihashi:
Social Data Platform, D-Ocean. 45-48 - Zhibo Yang, Luyun Li:
An Online Retrieval Question Answering System for Featured Snippets Triggering. 49-55
BSMDMA-Big Social Media Data Management and Analysis
- Shuntong Chen, Huaien Qian, Yanping Wu, Chen Chen, Xiaoyang Wang:
Efficient Adoption Maximization in Multi-layer Social Networks. 56-60 - Didier Henry, Erick Stattner:
Predictive Models for Early Detection of Hoax Spread in Twitter. 61-64 - Irena Holubová, Martin Svoboda, David Bernhauer, Tomás Skopal, Petr Pascenko:
Inferred Social Networks: A Case Study. 65-68 - Alvis Logins, Panagiotis Karras:
Content-Based Network Influence Probabilities: Extraction and Application. 69-72 - Fan Mo, Hayato Yamana:
Point of Interest Recommendation by Exploiting Geographical Weighted Center and Categorical Preference. 73-76
AML 2019-1st IEEE ICDM Workshop on Autonomous Machine Learning
- Abhay M. S. Aradhya, Andri Ashfahani:
Deep Network Optimization for rs-fMRI Classification. 77-82 - Andri Ashfahani:
Autonomous Deep Learning: Incremental Learning of Deep Neural Networks for Evolving Data Streams. 83-90 - Leong Jing Chen, John Henawy, Basaran Bahadir Kocer, Gerald Gim Lee Seet:
Aerial Robots On the Way to Underground: An Experimental Evaluation of VINS-Mono on Visual-Inertial Odometry Camera. 91-96 - Salijona Dyrmishi, Radwa El Shawi, Sherif Sakr:
A Decision Support Framework for AutoML Systems: A Meta-Learning Approach. 97-106 - Md Meftahul Ferdaus:
Recent Advancements in Autonomous Intelligent Control Techniques: Design and Implementation. 107-113 - Peilan He, Yidan Sun, Guiyuan Jiang, Siew-Kei Lam:
Predicting Travel Time of Bus Journeys with Alternative Bus Services. 114-123 - Lidan Wang, Trung Bui, Franck Dernoncourt, Natwar Modani:
A Markov Network Model for Natural Language Semantic Matching. 124-130
DeepSpatial: Deep Learning for Spatio-temporal and Graph-based Data
- Mehmet Dedeoglu, Jessica Zhang, Runli Liang:
Emotion Classification Based on Audiovisual Information Fusion Using Deep Learning. 131-134 - Evgeniy Faerman, Manuell Rogalla, Niklas Strauß, Adrian Krüger, Benedict Blümel, Max Berrendorf, Michael Fromm, Matthias Schubert:
Spatial Interpolation with Message Passing Framework. 135-141 - Michael Fromm, Max Berrendorf, Evgeniy Faerman, Yiyi Chen, Balthasar Schüss, Matthias Schubert:
XD-STOD: Cross-Domain Superresolution for Tiny Object Detection. 142-148 - Xingbo Fu, Feng Gao, Jiang Wu, Xinyu Wei, Fangwei Duan:
Spatiotemporal Attention Networks for Wind Power Forecasting. 149-154 - Lin Kong, Xiaying Bai, Yang Hu, Fanhua Shang, Yuanyuan Liu, Hongying Liu:
A Stochastic Variance Reduced Extragradient Method for Sparse Machine Learning Problems. 155-164 - Hongying Liu, Zhongshu Wang, Fanhua Shang, Mingyang Zhang, Maoguo Gong, Feihang Ge, Licheng Jiao:
A Novel Deep Framework for Change Detection of Multi-source Heterogeneous Images. 165-171 - Fanhua Shang, Zhihui Zhang, Yuying An, Yang Hu, Hongying Liu:
Efficient Parallel Stochastic Variance Reduction Algorithms for Large-Scale SVD. 172-179 - Kuan Song, Xiaochen Yu, Zhu Gu, Wenpeng Zhang, Guowei Yang, Qixun Wang, Chunmeng Xu, Jianzhong Liu, Wenjun Liu, Chen Shi, Ying Wang, Gong Zhang:
Deep Learning Prediction of Incoming Rainfalls: An Operational Service for the City of Beijing China. 180-185 - Dong Wang, Yicheng Liu, Wenwo Tang, Fanhua Shang, Hongying Liu, Qigong Sun, Licheng Jiao:
signADAM++: Learning Confidences for Deep Neural Networks. 186-195 - Haoyu Wang, Yawen Guan, Brian J. Reich:
Nearest-Neighbor Neural Networks for Geostatistics. 196-205 - Peng Wu, Yumin Tan:
Estimation of Economic Indicators using Residual Neural Network ResNet50. 206-209 - Yashan Wang, Yuchun Guo, Zhongrui Wei, Yin Huang, Xiang Liu:
Traffic Flow Prediction Based on Deep Neural Networks. 210-215
BDA-ICDM Workshop on Blockchain Data Analytics
- Rhonda Bush, Soohyun Choi:
Forecasting Ethereum STORJ Token Prices: Comparative Analyses of Applied Bitcoin Models. 216-223 - Dipnil Chakraborty, Akash Roy:
Time Series Methodology in STORJ Token Prediction. 224-231 - Yuzhou Chen, Hon Keung Tony Ng:
Deep Learning Ethereum Token Price Prediction with Network Motif Analysis. 232-237 - Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev:
Topological Data Analysis for Portfolio Management of Cryptocurrencies. 238-243 - Friedhelm Victor, Tanja Hagemann:
Cryptocurrency Pump and Dump Schemes: Quantification and Detection. 244-251
DMESS-DMCIH: Joint Workshop on Data Mining in Earth System Science and Data Mining in Climate Change Impact, Mitigation and Human Behavior
- Didier Henry, Nathan Jadoul, Reynald Eugénie, Erick Stattner:
Climate Change Perception in Scientific and Public Sphere. 252-261 - Zachary L. Langford, Jitendra Kumar, Forrest M. Hoffman:
Deep Transfer Learning With Field-Based Measurements for Large Area Classification. 262-269 - Dan Lu, Siyan Liu, Daniel M. Ricciuto:
An Efficient Bayesian Method for Advancing the Application of Deep Learning in Earth Science. 270-278 - Dan Lu, Daniel M. Ricciuto:
Learning-Based Inversion-Free Model-Data Integration to Advance Ecosystem Model Prediction. 279-287 - Yuping Lu, Jitendra Kumar:
Convolutional Neural Networks for Hydrometeor Classification using Dual Polarization Doppler Radars. 288-295 - Erick Stattner, Nathan Jadoul:
Climate Data Analytics Applied to Sugar Cane Crop in the French West Indies. 296-302 - Min Xu, Salil Mahajan, Forrest M. Hoffman, Xiaoying Shi:
Evaluating Carbon Extremes in a Coupled Climate-Carbon Cycle Simulation. 303-310
DMS-Data Mining for Service
- Jiansheng Fang, Wei Zhao, Dongya Jia:
Exercise Difficulty Prediction in Online Education Systems. 311-317 - Xuanang Feng, Jianing Zhao, Eisuke Kita:
Genetic Algorithm Based Optimization of Deep Neural Network Ensemble for Personal Identification in Pedestrians Behaviors. 318-325 - Björn Rafn Gunnarsson, Seppe vanden Broucke, Jochen De Weerdt:
Optimizing Marketing Campaign Targeting Using Uncertainty-Based Predictive Modelling. 326-332 - Shoji Hirano, Haruko Iwata, Tomohiro Kimura, Shusaku Tsumoto:
Clinical Pathway Generation from Order Histories and Discharge Summaries. 333-340 - Ken Ishibashi:
Application of Deep Learning to Pre-processing of Cousumer's Eye Tracking Data in Supermarket. 341-348 - Yuta Kaneko:
Customer-Base Sequential Data Analysis: An Application of Attentive Neural Networks to Sales Forecasting. 349-355 - Natsuki Sano, Yuta Hattori:
Utility Evaluation Measures for Categorical Data by Classification Performance. 356-361 - Jiangyi Yin, Yuchun Guo, Yishuai Chen:
Heterogenous Information Network Embedding Based Cross-Domain Recommendation System. 362-369 - Qing Zhang, Liyuan Qiu, Huaiwen Wu, Jinshan Wang, Hengliang Luo:
Deep Learning Based Dynamic Pricing Model for Hotel Revenue Management. 370-375
OEDM & DMIIOT: Workshop on Optimization-based Techniques for Emerging Data Mining Problems
- Kazuki Koyama, Keisuke Kiritoshi, Tomonori Izumitani:
Discovering Sparse and Ununiform Lag Structure Using VAR Models with Latent Group LASSO. 376-384 - Yuhan Lin, Minglong Lei, Lingfeng Niu:
Optimization Strategies in Quantized Neural Networks: A Review. 385-390 - Tomonari Masada, Takumi Eguchi, Daisuke Hamaguchi:
Difference between Similars: A Novel Method to Use Topic Models for Sensor Data Analysis. 391-398 - Devon Peticolas, Russell Kirmayer, Deepak Turaga:
Mímir: Building and Deploying an ML Framework for Industrial IoT. 399-406
DSBDA-Workshop on Data Science and Big Data Analytics
- António Pereira Barata, Frank W. Takes, H. Jaap van den Herik, Cor J. Veenman:
Imputation Methods Outperform Missing-Indicator for Data Missing Completely at Random. 407-414 - Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin:
Comparative Study on Trajectory Outlier Detection Algorithms. 415-423 - Junqiang Liu, Xiangcai Yang, Yanjun Hu, Bo Jiang, Yong Zhang, Zhousheng Ye:
Distributed Mining of Frequent Patterns in Big Data by Hybrid Strategies. 424-433 - Lulu Wang, Huahui Liu, Guanhao Chen, Guoqiao Ye, Xiaonan Meng, Yi Hu, Hao Wang:
Learning Theory and Algorithms for Revenue Maximization in Sponsored Search. 434-440 - Yoshiki Yoneda, Yu Suzuki, Akiyo Nadamoto:
Behavioral Facilitation Tweets with Basis Extraction. 441-447 - Peng Zhao, Fan Yang, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng:
A High Performance Text Vector Similarity Search Method Based on Overlapping Degree. 448-454
DaMNet-Workshop on Data Mining in Networks
- Petr Chunaev, Ivan Nuzhdenko, Klavdiya Bochenina:
Community Detection in Attributed Social Networks: A Unified Weight-Based Model and Its Regimes. 455-464 - Oluwabunmi Oloruntoba, Georgina Cosma, Antonio Liotta:
Clan-Based Cultural Algorithm for Feature Selection. 465-472 - Wei Song, Shuyuan Dai, Jian Wang, Dongmei Huang, Antonio Liotta, Giuseppe Di Fatta:
Bi-gradient Verification for Grad-CAM Towards Accurate Visual Explanation for Remote Sensing Images. 473-479 - Chris Wrench, Frederic T. Stahl, Giuseppe Di Fatta, Vidhyalakshmi Karthikeyan, Detlef D. Nauck:
A Rule Induction Approach to Forecasting Critical Alarms in a Telecommunication Network. 480-489 - Mengyu Yan, Zhinong Zhong, Ning Jing, Ye Wu:
Method for Calculating Geographic Entity Relevance Based on Spatial and Semantic Association. 490-496 - Bo Yuan, Ashiq Anjum, John Panneerselvam, Lu Liu:
Exploring Network Embedding for Efficient Message Routing in Opportunistic Mobile Social Networks. 497-504 - Lidan Wang, Xiao Yu, Fangbo Tao:
A Community-Enhanced Retrieval Model for Text-Rich Heterogeneous Information Networks. 505-513
SENTIRE-Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
- Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis:
Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal. 514-521 - Mandar Gogate, Amir Hussain, Kaizhu Huang:
Random Features and Random Neurons for Brain-Inspired Big Data Analytics. 522-529 - Claudia Guerreiro, Erik Cambria, Hien T. Nguyen:
Understanding the Role of Social Media in Backpacker Tourism. 530-537 - Lantian Guo, Xiaoyan Cai, Haohua Qin, Yangming Guo, Fei Li, Gang Tian:
Citation Recommendation with a Content-Sensitive DeepWalk Based Approach. 538-543 - Pratik Ratadiya, Deepak Mishra:
An Attention Ensemble Based Approach for Multilabel Profanity Detection. 544-550 - Hajung Sohn, Hyunju Lee:
MC-BERT4HATE: Hate Speech Detection using Multi-channel BERT for Different Languages and Translations. 551-559 - Kaizhou Xuan, Rui Xia:
Rumor Stance Classification via Machine Learning with Text, User and Propagation Features. 560-566
SSTDM-Workshop on Spatial and Spatio-Temporal Data Mining
- Alfredo Cuzzocrea:
Management and Analytics of Big Data Sources in Intelligent Smart Environments: Where We Are and Where We Are Going. 567-572 - Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai:
Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition. 573-580 - Soumya Suvra Ghosal, Abderrahman Bani, Amine Amrouss, Issmail El Hallaoui:
A Deep Learning Approach to Predict Parking Occupancy using Cluster Augmented Learning Method. 581-586 - Shiau Hong Lim, Hasan Poonawala, Laura Wynter:
Combining Micro and Macro Features for Online Pattern-of-Life Movement Prediction. 587-594 - Noureddin Sadawi, Alina Dana Miron, Waidah Ismail, Hafez Hussain, Crina Grosan:
Gesture Correctness Estimation with Deep Neural Networks and Rough Path Descriptors. 595-602 - Minhui Xue, Xin Yuan, Heather Lee, Keith W. Ross:
Sensing the Chinese Diaspora: How Mobile Apps Can Provide Insights Into Global Migration Flows. 603-608 - Yirong Zhou, Hao Chen, Jun Li, Ye Wu, Jiangjiang Wu, Luo Chen:
ST-Attn: Spatial-Temporal Attention Mechanism for Multi-step Citywide Crowd Flow Prediction. 609-614
DFM-Dynamic Feature Mining
- Liang Du, Xiaolin Lv:
Consensus Graph Weighting via Trace Ratio Criterion for Multi-view Unsupervised Feature Selection. 615-619 - Qian Guo, Yuhua Qian, Xinyan Liang:
Mining Logic Patterns from Visual Data. 620-627 - Weijin Jiang, Yang Wang, Xiaoliang Liu, Jiahui Chen:
A New Classification Method of Signature Network Node Based on Potential Space Projection. 628-633 - Yachen Kang, Sibo Gai, Feng Zhao, Donglin Wang, Yi Luo:
Cross-Domain Deep Collaborative Filtering for Recommendation. 634-638 - Feijiang Li, Yuhua Qian, Jieting Wang:
Prototype Propagation Clustering Based on Large Margin. 639-645 - Jun Li, Xianglong Liu, Jun Xiao, Hainan Li, Shuo Wang, Liang Liu:
Dynamic Spatio-Temporal Feature Learning via Graph Convolution in 3D Convolutional Networks. 646-652 - Jiao Liu, Mingbo Zhao:
Capped l2, 1-Norm Regularized Dictionary Coding for Scalable Semi-Supervised Learning. 653-657 - Xian-Qin Ma, Chongchong Yu, Xin Yang, Xiuxin Chen:
Few-Shot Learning Based on Attention Relation Compare Network. 658-664 - Lifang Wu, Bowen Yang, Meng Jian, Xiuzhen Zhang, Heng Zhang, Xu Liu:
Learning Effective Representations from Sparse Mutlimodal Data on Content Curation Social Networks. 665-672 - Jie Yang, Simon Fong, Tengyue Li:
Attribute Reduction Based on Multi-objective Decomposition-Ensemble Optimizer with Rough Set and Entropy. 673-680 - Xuxia Zhang, Xiaodong Yue, Zhikang Xu:
Efficient Attribute Reduction with Submodular Function Optimization. 681-688 - Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei:
Improved Multi-view Multi-label Learning with Incomplete Views and Labels. 689-696
HDM-IEEE ICDM Workshop on High Dimensional Data Mining
- Adahlia Charles:
Underdetermined Blind Source Separation for Hard Clipped Stereophonic Mixtures. 697-702 - Jinyu Li, Yu Pan, Hongfeng Yu, Qi Zhang:
Prediction Approach for Ising Model Estimation. 703-710 - Jiacheng Yang, Bin Chen, Shu-Tao Xia:
Mean-Removed Product Quantization for Approximate Nearest Neighbor Search. 711-718 - Xi Zhang, Ata Kabán:
Experiments with Random Projections Ensembles: Linear Versus Quadratic Discriminants. 719-726
SCW-The Social Computing Workshop
- Zhenhua Huang, Zhenyu Wang, Rui Zhang, Yangyang Zhao, Xiaohui Xie, Sharad Mehrotra:
Network2Vec: Learning Node Representation Based on Space Mapping in Networks. 727-734 - Yufei Liu, Jie Cao:
IIRank: A Novel Algorithm for Identifying Influencers in Micro-Blog Social Networks. 735-740 - Wenquan Tian, Qixiang Song, Shanshan Li, Zhiwei Zhang, Jiakang Tang:
Age Label Distribution Estimation Algorithm Based on Kernel Extreme Learning Machine. 741-750 - Chenyu Wang, Zhongchen Miao, Yuefeng Lin, Jian Gao:
User and Topic Hybrid Context Embedding for Finance-Related Text Data Mining. 751-760
LMID-Workshop on Learning and Mining with Industrial Data
- Nivesh Dommaraju, Mariusz Bujny, Stefan Menzel, Markus Olhofer, Fabian Duddeck:
Identifying Topological Prototypes using Deep Point Cloud Autoencoder Networks. 761-768 - Lucas Foulon, Serge Fenet, Christophe Rigotti, Denis Jouvin:
Scoring Message Stream Anomalies in Railway Communication Systems. 769-776 - Simon Kocbek, Bogdan Gabrys:
Automated Machine Learning Techniques in Prognostics of Railway Track Defects. 777-784 - Sneha Saha, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck, Xin Yao, Zhao Xu, Patricia Wollstadt:
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks. 785-792 - Naoya Takeishi:
Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection. 793-798 - Sundararaman Venkataramani, Ateendra Ramesh, Sharan Sundar S, Aashish Kumar Jain, Gautham Krishna Gudur, Vineeth Vijayaraghavan:
A Dynamically Adaptive Movie Occupancy Forecasting System with Feature Optimization. 799-805 - Zijiang Yang, Tetsushi Watari, Daisuke Ichigozaki, Kei Morohoshi, Yoshinori Suga, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Data-Driven Insights from Predictive Analytics on Heterogeneous Experimental Data of Industrial Magnetic Materials. 806-813 - Bing Zhao, Ming-rui Dai, Ping Li, Xiao-ning Ma:
Data Mining in Railway Defect Image Based on Object Detection Technology. 814-819
TMDM-Translational Multimedia Data Mining for AI-Based Medical Diagnostics
- Masaharu Goto, Naoki Kobayashi, Gang Ren, Mitsunori Ogihara:
Multi-scale Sequential Pattern Discovery and Alignment for Long-Duration Waveform Similarity Quantification and Interpretation. 820-829 - Joseph Johnson, Raju Parakkal, Sherry Bartz, Gang Ren, Mitsunori Ogihara:
Survival of the Fastest: Using Sequential Pattern Analysis to Measure Efficiency of Complex Organizational Processes. 830-837 - Luis Quintero, Panagiotis Papapetrou, John Edison Muñoz, Uno Fors:
Implementation of Mobile-Based Real-Time Heart Rate Variability Detection for Personalized Healthcare. 838-846 - Saad Sadiq, Micheal Castellanos, Jacquelyn Moffitt, Mei-Ling Shyu, Lynn Perry, Daniel S. Messinger:
Deep Learning Based Multimedia Data Mining for Autism Spectrum Disorder (ASD) Diagnosis. 847-854 - Yudong Tao, Samantha G. Mitsven, Lynn K. Perry, Daniel S. Messinger, Mei-Ling Shyu:
Audio-Based Group Detection for Classroom Dynamics Analysis. 855-862
UHAVE-International Workshop on Understanding and Harnessing AdVersarial Examples
- Yong Dai, Jian Zhang, Shuai Yuan, Zenglin Xu:
A Two-Stage Multi-task Learning-Based Method for Selective Unsupervised Domain Adaptation. 863-868 - Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu:
Deep Minimax Probability Machine. 869-876 - Da Ke, Zhitao Huang, Xiang Wang, Liting Sun:
Application of Adversarial Examples in Communication Modulation Classification. 877-882 - Ming Sun, Fang Zhou, Chun Yang, Xu-Cheng Yin:
Image Generation Framework for Unbalanced License Plate Data Set. 883-889 - Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang, Xu Yang, Amir Hussain:
Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation. 890-897 - Hang Yu, Derong Chen, Jiulu Gong:
Video Saliency Detection with Gated CNN and Residual Architecture. 898-904 - Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Amir Hussain:
SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions. 905-910 - Li Zhao, Fang Zhou, Chun Yang, Xu-Cheng Yin:
Feature-Matching Speech Denoising GANs via Progressive Training. 911-917
DMBIH-Workshop on Data Mining in Biomedical Informatics and Healthcare
- Suzan Arslanturk, Mohammad-Reza Siadat, Theophilus Ogunyemi, Kim Killinger, Ananias Diokno:
Effect of Missing Data Imputation on Prediction of Urinary Incontinence. 918-924 - Maria Bampa, Panagiotis Papapetrou:
Mining Adverse Drug Events Using Multiple Feature Hierarchies and Patient History Windows. 925-932 - David Bethge, Jieshi Chen, Oliver Grothe, Jonathan Elmer, Artur Dubrawski:
Prognostication of Neurological Recovery by Analyzing Structural Breaks in EEG Data. 933-940 - Samah J. Fodeh, Taihua Li, Kevin Menczynski, Tedd Burgette, Andrew Harris, Georgeta Ilita, Satyan Rao, Jonathan Gemmell, Daniela Raicu:
Using Machine Learning Algorithms to Detect Suicide Risk Factors on Twitter. 941-948 - Anahita Hosseini, Tyler Davis, Majid Sarrafzadeh:
Hierarchical Target-Attentive Diagnosis Prediction in Heterogeneous Information Networks. 949-957 - Evan Stene, Farnoush Banaei Kashani:
SeAlM: A Query Cache Optimization Technique for Next Generation Sequence Alignment. 958-965 - Lin Zhu, Xinnan Dai, Qihao Huang, Hai Xiang, Jie Zheng:
Topic Judgment Helps Question Similarity Prediction in Medical FAQ Dialogue Systems. 966-972
UDML-Workshop on Utility-Driven Mining and Learning
- Manxing Du, Alexander I. Cowen-Rivers, Ying Wen, Phu Sakulwongtana, Jun Wang, Mats Brorsson, Radu State:
Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation. 973-981 - Tzung-Pei Hong, Ping-Hung Chiang, Wei-Ming Huang, Jerry Chun-Wei Lin:
Fuzzy Utility Mining Under Minimum Weight Constraint of Multiple Item Weights. 982-986 - Rage Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering Spatial Weighted Frequent Itemsets in Spatiotemporal Databases. 987-996 - Srikumar Krishnamoorthy, Debjit Roy:
An Utility-Based Storage Assignment Strategy for e-Commerce Warehouse Management. 997-1004 - Chia Hua Li, Cheng-Wei Wu, JianTao Huang, Vincent S. Tseng:
An Efficient Algorithm for Mining High Utility Quantitative Itemsets. 1005-1012 - Jerry Chun-Wei Lin, Yuanfa Li, Philippe Fournier-Viger, Youcef Djenouri, Ji Zhang:
An Efficient Chain Structure to Mine High-Utility Sequential Patterns. 1013-1019 - C. Saideep, Rage Uday Kiran, Koji Zettsu, Philippe Fournier-Viger, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering Periodic Patterns in Irregular Time Series. 1020-1028 - Tomasz Wiktorski, Jerry Chun-Wei Lin:
Approximate Approach to Finding Generic Utility of Sequential Patterns. 1029-1034
PhD Forum
- Lena Greta Marie Bauer, Philipp Grohs, Afra M. Wohlschläger, Claudia Plant:
Planting Synchronisation Trees for Discovering Interaction Patterns Among Brain Regions. 1035-1036 - Hongliang Du, Zhiyi Jiang, Jianliang Gao:
Who is Who: Name Disambiguation in Large-Scale Scientific Literature. 1037-1044 - Wenbin Gan, Yuan Sun, Shiwei Ye, Ye Fan, Yi Sun:
Field-Aware Knowledge Tracing Machine by Modelling Students' Dynamic Learning Procedure and Item Difficulty. 1045-1046 - Fiete Lüer, Dominik Mautz, Christian Böhm:
Anomaly Detection in Time Series using Generative Adversarial Networks. 1047-1048 - Robert Phan, Thoai Man Luu, Rachel Davey, Girija Chetty:
Enhancing Clinical Name Entity Recognition Based on Hybrid Deep Learning Scheme. 1049-1055 - Kunal Rajput, Girija Chetty, Rachel Davey:
Risk Factors Identification for Heart Disease in Unstructured Dataset using Deep Learning Approach. 1056-1059 - Masahiro Sato, Shin Kawai, Hajime Nobuhara:
Action-Triggering Recommenders: Uplift Optimization and Persuasive Explanation. 1060-1069 - Donghuo Zeng, Keizo Oyama:
Learning Joint Embedding for Cross-Modal Retrieval. 1070-1071 - Wenbin Zhang, Xuejiao Tang, Jianwu Wang:
On Fairness-Aware Learning for Non-discriminative Decision-Making. 1072-1079 - Bo Zhao, Atsuhiro Takasu, Ramin Yahyapour, Xiaoming Fu:
Loyal Consumers or One-Time Deal Hunters: Repeat Buyer Prediction for E-Commerce. 1080-1087 - Carl Yang, Jiawei Han:
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. 1088-1089
Demo Session
- Bei Chen, Rahul Nair, Inge Vejsbjerg:
RSM: An Explainable Predictive Sales Route Selector. 1090-1093 - Sainyam Galhotra, Udayan Khurana, Oktie Hassanzadeh, Kavitha Srinivas, Horst Samulowitz, Miao Qi:
Automated Feature Enhancement for Predictive Modeling using External Knowledge. 1094-1097 - Leyu Liu, Xin Huang, Jianliang Xu, Yunya Song:
Oasis: Online Analytic System for Incivility Detection and Sentiment Classification. 1098-1101 - Chong Long, Xiaotong Zhang, Yafang Wang, Xiaolu Lu, Feiwu Han, Jiaxing Zhang, Xiaolong Li:
SNSaPP: Unbiased Social Media Analysis Against Paid Posters. 1102-1105 - Guangcan Mai, Renjie Gou, Liya Ji, Hua Wu, Fei Cao, Qifeng Chen, Jun Luo:
LeapDetect: An Agile Platform for Inspecting Power Transmission Lines from Drones. 1106-1109 - Tuan Nguyen, Nicolas Méger, Christophe Rigotti, Catherine Pothier, Noel Gourmelen, Emmanuel Trouvé:
A Pattern-Based Mining System for Exploring Displacement Field Time Series. 1110-1113 - Giulia Preti, Polina Rozenshtein, Aristides Gionis, Yannis Velegrakis:
ExCoDE: a Tool for Discovering and Visualizing Regions of Correlation in Dynamic Networks. 1114-1117 - Tianxing Tian, Shi Chen, Yaobo Wu, Fan Zhang, Yinan Jing, Zhengying He, X. Sean Wang, Wei Wang, Peng Zhang:
An Automatic Illustration Recommendation System. 1118-1121 - Jiasheng Zhang, Thai Le, Yiming Liao, Dongwon Lee:
PATHFINDER: Graph-Based Itemset Embedding for Learning Course Recommendation and Beyond. 1122-1125 - Yo Ehara:
Analyzing Similarities between Word Frequency Distributions of Various Corpora to Find Effective Features for Complex Word Identification. 1-4 - Hailiang Li, Adele Y. C. Wang, Yang Liu, Du Tang, Zhibin Lei, Wenye Li:
An Augmented Transformer Architecture for Natural Language Generation Tasks. 1-7 - Sanket Shah, Sunayana Sitaram:
Using Monolingual Speech Recognition for Spoken Term Detection in Code-switched Hindi-English Speech. 1-5 - Nikita Remnev:
Native Language Identification for Russian. 1-7 - Zhubo Deng, Weijia Shi, Pei Zhou, Muhao Chen, Kai-Wei Chang:
Computational Analysis of French Reborrowing Process for English Loanwords. 1-4 - Rohith Gowtham Kodali, Durga Prasad Manukonda, Rajaraman Sundararajan:
Bilingual Speech Recognition based on Deep Neural Networks and Directed Acyclic Word Graphs. 1-6
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