Session C4: Web
Session Chair: Carlos Castillo (Eurecat, Spain)
REGULAR PAPERS:
DM386 "Reliable Gender Prediction Based on Users' Video Viewing Behavior"
Jie Zhang, Kuang Du, Ruihua Cheng, Zhi Wei, Chenguang Qin, Huaxin You, and Sha Hu
DM733 "Efficient Extraction of Non-negative Latent Factors from High-dimensional and Sparse Matrices"
Xin Luo, Mingsheng Shang, and Shuai Li
DM862 "Inferring latent network from cascade data for dynamic social recommendation"
Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, and Chengqi Zhang
DM975 "Sparse Factorization Machines for Click-through Rate Prediction"
Zhen Pan, Qi Liu, Tong Xu, Enhong Chen, Haiping Ma, and Hongjie Lin
SHORT PAPERS:
DM533 "Meta Analyses for Dynamic Contextual Multi Arm Bandits in Display Advertisement"
Hongxia Yang and Quan Lu
DM575 "Selecting Valuable Customers for Merchants in E-commerce Platforms"
Yijun Wang, Le Wu, Zongda Wu, Enhong Chen, and Qi Liu
DM589 "Service Usage Analysis in Mobile Messaging Apps: A Multi-Label Multi-View Perspective"
Hui Xiong, Junming Liu, Xinjiang Lu, Yanjie Fu, and Xiaolin Li
REGULAR PAPERS:
DM386 "Reliable Gender Prediction Based on Users' Video Viewing Behavior"
Jie Zhang, Kuang Du, Ruihua Cheng, Zhi Wei, Chenguang Qin, Huaxin You, and Sha Hu
DM733 "Efficient Extraction of Non-negative Latent Factors from High-dimensional and Sparse Matrices"
Xin Luo, Mingsheng Shang, and Shuai Li
DM862 "Inferring latent network from cascade data for dynamic social recommendation"
Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, and Chengqi Zhang
DM975 "Sparse Factorization Machines for Click-through Rate Prediction"
Zhen Pan, Qi Liu, Tong Xu, Enhong Chen, Haiping Ma, and Hongjie Lin
SHORT PAPERS:
DM533 "Meta Analyses for Dynamic Contextual Multi Arm Bandits in Display Advertisement"
Hongxia Yang and Quan Lu
DM575 "Selecting Valuable Customers for Merchants in E-commerce Platforms"
Yijun Wang, Le Wu, Zongda Wu, Enhong Chen, and Qi Liu
DM589 "Service Usage Analysis in Mobile Messaging Apps: A Multi-Label Multi-View Perspective"
Hui Xiong, Junming Liu, Xinjiang Lu, Yanjie Fu, and Xiaolin Li
Session C6: Anomalies and Outliers
Session Chair: Takashi Washio (Osaka University, Japan)
REGULAR PAPERS:
DM273 "Probabilistic-Mismatch Anomaly Detection: Do one's Medications Match with the Diagnoses?"
Lingxiao Zhang, Xiang Li, Heifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Bing Xie, and Guotong Xie
DM274 "Regularized Large Margin Distance Metric Learning"
Ya Li, Xinmei Tian, and Dacheng Tao
DM806 "Subspace Outlier Detection in Linear Time with Randomized Hashing"
Saket Sathe and Charu Aggarwal
SHORT PAPERS:
DM537 "Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective"
Shebuti Rayana, Wen Zhong, and Leman Akoglu
DM925 "Outlier Detection from Network Data with Subnetwork Interpretation"
Xuan-Hong Dang, Arllei Silva, Ambuj K Singh, Prithwish Basu, and Ananthram Swami
DM1044 "Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection"
Tsuyoshi Ide, Ankush Khandelwal, and Jayant Kalagnanam
DM1058 "Low-Rank Sparse Feature Selection for Patient Similarity Learning"
Mengting Zhan, Shilei Cao, Shiyu Chang, Jishang Wei, and Buyue Qian
DM254 "Structure-Preserved Multi-Source Domain Adaptation"
Hongfu Liu, Ming Shao, and Yun Fu
DM938 "Gaussian Component based Index for GMMs"
Linfei Zhou, Bianca Wackersreuther, Frank Fiedler, Claudia Plant, and Christian Boehm
REGULAR PAPERS:
DM273 "Probabilistic-Mismatch Anomaly Detection: Do one's Medications Match with the Diagnoses?"
Lingxiao Zhang, Xiang Li, Heifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Bing Xie, and Guotong Xie
DM274 "Regularized Large Margin Distance Metric Learning"
Ya Li, Xinmei Tian, and Dacheng Tao
DM806 "Subspace Outlier Detection in Linear Time with Randomized Hashing"
Saket Sathe and Charu Aggarwal
SHORT PAPERS:
DM537 "Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective"
Shebuti Rayana, Wen Zhong, and Leman Akoglu
DM925 "Outlier Detection from Network Data with Subnetwork Interpretation"
Xuan-Hong Dang, Arllei Silva, Ambuj K Singh, Prithwish Basu, and Ananthram Swami
DM1044 "Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection"
Tsuyoshi Ide, Ankush Khandelwal, and Jayant Kalagnanam
DM1058 "Low-Rank Sparse Feature Selection for Patient Similarity Learning"
Mengting Zhan, Shilei Cao, Shiyu Chang, Jishang Wei, and Buyue Qian
DM254 "Structure-Preserved Multi-Source Domain Adaptation"
Hongfu Liu, Ming Shao, and Yun Fu
DM938 "Gaussian Component based Index for GMMs"
Linfei Zhou, Bianca Wackersreuther, Frank Fiedler, Claudia Plant, and Christian Boehm
Session A4: Theory
Session Chair: Aris Gionis (Aalto University, Finland)
REGULAR PAPERS:
DM969 "From Sets of Good Redescriptions to Good Sets of Redescriptions"
Janis Kalofolias, Esther Galbrun, and Pauli Miettinen
DM799 "What Will You Gain By Rounding: Theory and Algorithms for Rounding Rank"
Stefan Neumann, Rainer Gemulla, and Pauli Miettinen
DM960 "ADAGIO: Fast Data-aware Near-Isometric Linear Embeddings"
Jaroslaw Blasiok and Charalampos Tsourakakis
DM1003 "Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains"
Linli Xu and Zaiyi Chen
DM1037 "Communities in Preference Networks: Refined Axioms and Beyond"
Gang Zeng, Yuyi Wang, Juhua Pu, Xingwu Liu, Xiaoming Sun, and Jialin Zhang
SHORT PAPERS:
DM603 "Foundations of Perturbation Robust Clustering"
Jarrod Moore and Margareta Ackerman
DM360 "Compressing Random Forests"
Amichai Painsky and Saharon Rosset
REGULAR PAPERS:
DM969 "From Sets of Good Redescriptions to Good Sets of Redescriptions"
Janis Kalofolias, Esther Galbrun, and Pauli Miettinen
DM799 "What Will You Gain By Rounding: Theory and Algorithms for Rounding Rank"
Stefan Neumann, Rainer Gemulla, and Pauli Miettinen
DM960 "ADAGIO: Fast Data-aware Near-Isometric Linear Embeddings"
Jaroslaw Blasiok and Charalampos Tsourakakis
DM1003 "Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains"
Linli Xu and Zaiyi Chen
DM1037 "Communities in Preference Networks: Refined Axioms and Beyond"
Gang Zeng, Yuyi Wang, Juhua Pu, Xingwu Liu, Xiaoming Sun, and Jialin Zhang
SHORT PAPERS:
DM603 "Foundations of Perturbation Robust Clustering"
Jarrod Moore and Margareta Ackerman
DM360 "Compressing Random Forests"
Amichai Painsky and Saharon Rosset
Session C3: Text
Session Chair: Erik Cambria (NTU, Singapore)
REGULAR PAPERS:
DM1030 "Learning Hierarchically Decomposable Concepts with Active Over-Labeling"
Yuji Mo, Stephen Scott, and Doug Downey
DM1085 "L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization"
Sangho Suh, Jaegul Choo, Joonseok Lee, and Chandan Reddy
SHORT PAPERS:
DM292 "Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation"
Defu Lian, Qi Liu, Wenya Zhu, Xing Xie, and Hui Xiong
DM529 "Topic Discovery for Short Texts Using Word Embeddings"
Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, and Aidong Zhang
DM745 "Concept based Short Text Stream Classification with Topic Drifting Detection"
Peipei Li, Lu He, Xuegang Hu, Yuhong Zhang, Lei Li, and Xindong Wu
DM817 "A Scalable Framework for Stylometric Analysis Query Processing"
Sarana Nutanong, chenyun YU, Raheem Sarwar, Peter Xu, and Dickson Chow
DM897 "Incorporating Pre-Training in Long Short-Term Memory Networks for Tweets Classification"
Shuhan Yuan, Xintao Wu, and Yang Xiang
DM985 "Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash"
Wei Wu, Bin Li, Ling Chen, and Chengqi Zhang
REGULAR PAPERS:
DM1030 "Learning Hierarchically Decomposable Concepts with Active Over-Labeling"
Yuji Mo, Stephen Scott, and Doug Downey
DM1085 "L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization"
Sangho Suh, Jaegul Choo, Joonseok Lee, and Chandan Reddy
SHORT PAPERS:
DM292 "Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation"
Defu Lian, Qi Liu, Wenya Zhu, Xing Xie, and Hui Xiong
DM529 "Topic Discovery for Short Texts Using Word Embeddings"
Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, and Aidong Zhang
DM745 "Concept based Short Text Stream Classification with Topic Drifting Detection"
Peipei Li, Lu He, Xuegang Hu, Yuhong Zhang, Lei Li, and Xindong Wu
DM817 "A Scalable Framework for Stylometric Analysis Query Processing"
Sarana Nutanong, chenyun YU, Raheem Sarwar, Peter Xu, and Dickson Chow
DM897 "Incorporating Pre-Training in Long Short-Term Memory Networks for Tweets Classification"
Shuhan Yuan, Xintao Wu, and Yang Xiang
DM985 "Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash"
Wei Wu, Bin Li, Ling Chen, and Chengqi Zhang
Session B3: Crowds
Session Chair: Celine Robardet (INSA Lyon, France)
REGULAR PAPERS:
DM460 "A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction"
Fengyuan Zhu, Guangyong Chen, and Pheng-Ann Heng
DM615 "Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems"
Mengting Wan and Julian McAuley
DM890 "Group Preference Aggregation: A Nash Equilibrium Approach"
Hongke Zhao, Qi Liu, and Yong Ge
DM1064 "Binding Pairwise Preferences of the Crowd into Rankings: A Thurstonian Approach"
Xiaolong Wang, Jingjing Wang, Jie Luo, Yi Chang, and Chengxiang Zhai
SHORT PAPERS:
DM568 "Improved and Scalable Bradley-Terry Model for Collaborative Ranking"
Jun Hu and Ping li
DM875 "A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting"
Muhammad Imran, Sanjay Chawla, and Carlos Castillo
REGULAR PAPERS:
DM460 "A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction"
Fengyuan Zhu, Guangyong Chen, and Pheng-Ann Heng
DM615 "Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems"
Mengting Wan and Julian McAuley
DM890 "Group Preference Aggregation: A Nash Equilibrium Approach"
Hongke Zhao, Qi Liu, and Yong Ge
DM1064 "Binding Pairwise Preferences of the Crowd into Rankings: A Thurstonian Approach"
Xiaolong Wang, Jingjing Wang, Jie Luo, Yi Chang, and Chengxiang Zhai
SHORT PAPERS:
DM568 "Improved and Scalable Bradley-Terry Model for Collaborative Ranking"
Jun Hu and Ping li
DM875 "A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting"
Muhammad Imran, Sanjay Chawla, and Carlos Castillo
Session A3: Unsupervised learning
Session Chair: Vagelis Papalexakis (UC Riverside, USA)
REGULAR PAPERS:
DM336 "Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis"
Young Woong Park and Diego Klabjan
DM383 "Heterogeneous Representation Learning with Structured Sparsity Regularization"
Pei Yang and Jingrui He
DM389 "Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis"
Kai Fan, Yizhe Zhang, and Katherine Heller
DM821 "Causal Inference by Compression"
Kailash Budhathoki and Jilles Vreeken
SHORT PAPERS:
DM332 "Factorizing Complex Discrete Data "with Finesse""
Samuel Maurus and Claudia Plant
DM337 "A Fast Factorization-based Approach to Robust Principal Component Analysis"
Chong Peng, Zhao Kang, and Qiang Cheng
REGULAR PAPERS:
DM336 "Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis"
Young Woong Park and Diego Klabjan
DM383 "Heterogeneous Representation Learning with Structured Sparsity Regularization"
Pei Yang and Jingrui He
DM389 "Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis"
Kai Fan, Yizhe Zhang, and Katherine Heller
DM821 "Causal Inference by Compression"
Kailash Budhathoki and Jilles Vreeken
SHORT PAPERS:
DM332 "Factorizing Complex Discrete Data "with Finesse""
Samuel Maurus and Claudia Plant
DM337 "A Fast Factorization-based Approach to Robust Principal Component Analysis"
Chong Peng, Zhao Kang, and Qiang Cheng
Session C2: Events and Social
Session Chair: Leman Akoglu (CMU, USA)
REGULAR PAPERS:
DM544 "Multi-resolution Spatial Event Forecasting in Social Media"
Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan
DM949 "Event Series Prediction via Non-Homogeneous Poisson Process Modelling"
James Goulding, Simon Preston, and Gavin Smith
SHORT PAPERS:
DM729 "Towards Scalable Network Delay Minimization"
Sourav Medya, Petko Bogdanov, and Ambuj K Singh
DM881 "Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining"
Erik Scharwaechter, Marwan Hassani, Emmanuel Mueller, Thomas Seidl, and Jonathan Donges
DM892 "DeBot: Twitter Bot Detection via Warped Correlation"
Nikan Chavoshi, Hossein Hamooni, and Abdullah Mueen
DM1055 "Modeling Knowledge Diffusion with Time Lags in Citation Networks"
Tao-yang Fu, Zhen Lei, and Wang-Chien Lee
DM1062 "Event Grounding from Multimodal Social Network Fusion"
Hyunsouk Cho, Jinyoung Yeo, and Seung-won Hwang
DM1076 "Large-Scale Embedding Learning in Heterogeneous Event Data"
Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, and Jiawei Han
REGULAR PAPERS:
DM544 "Multi-resolution Spatial Event Forecasting in Social Media"
Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan
DM949 "Event Series Prediction via Non-Homogeneous Poisson Process Modelling"
James Goulding, Simon Preston, and Gavin Smith
SHORT PAPERS:
DM729 "Towards Scalable Network Delay Minimization"
Sourav Medya, Petko Bogdanov, and Ambuj K Singh
DM881 "Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining"
Erik Scharwaechter, Marwan Hassani, Emmanuel Mueller, Thomas Seidl, and Jonathan Donges
DM892 "DeBot: Twitter Bot Detection via Warped Correlation"
Nikan Chavoshi, Hossein Hamooni, and Abdullah Mueen
DM1055 "Modeling Knowledge Diffusion with Time Lags in Citation Networks"
Tao-yang Fu, Zhen Lei, and Wang-Chien Lee
DM1062 "Event Grounding from Multimodal Social Network Fusion"
Hyunsouk Cho, Jinyoung Yeo, and Seung-won Hwang
DM1076 "Large-Scale Embedding Learning in Heterogeneous Event Data"
Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, and Jiawei Han
Session B2: Recommender Systems
Session Chair: Nuria Oliver (Data-Pop Alliance, Spain)
REGULAR PAPERS:
DM554 "Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering"
Alexander Fonarev, Alexander Mikhalev, Gleb Gusev, Ivan Oseledets, and Pavel Serdyukov
DM635 "Recommending Packages to Groups"
Shuyao Qi, Nikos Mamoulis, Evaggelia Pitoura, and Panayiotis Tsaparas
DM663 "Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation"
Ruining He and Julian McAuley
SHORT PAPERS:
DM282 "Context-aware Sequential Recommendation"
Qiang Liu, Shu Wu, and Liang Wang
DM692 "Learning Compatibility Across Categories for Heterogeneous Item Recommendation"
Ruining He, Charles Packer, and Julian McAuley
DM773 "Time-Aware User Identification with Topic Models"
Clément Lesaege, François Schnitzler, Anne Lambert, and Jean-Ronan Vigouroux
DM818 "Whether this participant will attract you to this event? Exploiting Participant Influence for Event Recommendation"
Yi Liao, Xinshi Lin, and Wai Lam
REGULAR PAPERS:
DM554 "Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering"
Alexander Fonarev, Alexander Mikhalev, Gleb Gusev, Ivan Oseledets, and Pavel Serdyukov
DM635 "Recommending Packages to Groups"
Shuyao Qi, Nikos Mamoulis, Evaggelia Pitoura, and Panayiotis Tsaparas
DM663 "Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation"
Ruining He and Julian McAuley
SHORT PAPERS:
DM282 "Context-aware Sequential Recommendation"
Qiang Liu, Shu Wu, and Liang Wang
DM692 "Learning Compatibility Across Categories for Heterogeneous Item Recommendation"
Ruining He, Charles Packer, and Julian McAuley
DM773 "Time-Aware User Identification with Topic Models"
Clément Lesaege, François Schnitzler, Anne Lambert, and Jean-Ronan Vigouroux
DM818 "Whether this participant will attract you to this event? Exploiting Participant Influence for Event Recommendation"
Yi Liao, Xinshi Lin, and Wai Lam
Session A2: Clustering
Session Chair: Pauli Mittinen (MPI, Germany)
REGULAR PAPERS:
DM737 "Generalized Independent Subspace Clustering"
Wei Ye, Samuel Maurus, Nina Hubig, and Claudia Plant
DM1021 "Robust Graph-theoretic Clustering Approaches Using Node-Based Resilience Measures"
John Matta, Jeffrey Borwey, Tayo Obafemi-Ajayi, Donald Wunsch, and Gunes Ercal
SHORT PAPERS:
DM396 "Multi-Type Co-clustering of General Heterogeneous Information Networks"
Xianchao Zhang, Haixin Li, Wenxin Liang, and Jiebo Luo
DM565 "Interpretable Clustering via Discriminative Rectangle Mixture Model"
Junxiang Chen, Yale Chang, Brian Hobbs, Peter Castaldi, Michael Cho, Edwin Silverman, and Jennifer Dy
DM577 "Self-Grouping Multi-Network Clustering"
Jingchao Ni, Wei Cheng, Wei Fan, and Xiang Zhang
DM669 "A Theoretical Analysis of the Fuzzy K-Means Problem"
Johannes Blömer, Sascha Brauer, and Kathrin Bujna
DM749 "Multi-View Clustering via Concept Factorization with Local Manifold Regularization"
Hao Wang, Yan Yang, and Tianrui Li
DM972 "Robust Convex Clustering Analysis"
Qi Wang, Pinghua Gong, Shiyu Chang, Thomas Huang, and Jiayu Zhou
REGULAR PAPERS:
DM737 "Generalized Independent Subspace Clustering"
Wei Ye, Samuel Maurus, Nina Hubig, and Claudia Plant
DM1021 "Robust Graph-theoretic Clustering Approaches Using Node-Based Resilience Measures"
John Matta, Jeffrey Borwey, Tayo Obafemi-Ajayi, Donald Wunsch, and Gunes Ercal
SHORT PAPERS:
DM396 "Multi-Type Co-clustering of General Heterogeneous Information Networks"
Xianchao Zhang, Haixin Li, Wenxin Liang, and Jiebo Luo
DM565 "Interpretable Clustering via Discriminative Rectangle Mixture Model"
Junxiang Chen, Yale Chang, Brian Hobbs, Peter Castaldi, Michael Cho, Edwin Silverman, and Jennifer Dy
DM577 "Self-Grouping Multi-Network Clustering"
Jingchao Ni, Wei Cheng, Wei Fan, and Xiang Zhang
DM669 "A Theoretical Analysis of the Fuzzy K-Means Problem"
Johannes Blömer, Sascha Brauer, and Kathrin Bujna
DM749 "Multi-View Clustering via Concept Factorization with Local Manifold Regularization"
Hao Wang, Yan Yang, and Tianrui Li
DM972 "Robust Convex Clustering Analysis"
Qi Wang, Pinghua Gong, Shiyu Chang, Thomas Huang, and Jiayu Zhou
Keynote 2
Big Data – Security and Privacy
Elisa Bertino, Purdue University
Session Chair: Josep Domingo-Ferrer (URV, Spain)