Table of Contents

• Front Matter [doi]
• Many-to-many Correspondences between Partitions: Introducing a Cut-based ApproachRoland Glantz, Henning Meyerhenke. 1-9 [doi]
• Graph sketching-based Space-efficient Data ClusteringAnne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif. 10-18 [doi]
• Image Constrained Blockmodelling: A Constraint Programming ApproachMohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Ian Davidson. 19-27 [doi]
• NLRR++: Scalable Subspace Clustering via Non-Convex Block Coordinate DescentJun Wang, Cho-Jui Hsieh, Daming Shi 0001. 28-36 [doi]
• Unsupervised Neural Categorization for Scientific PublicationsKeqian Li, Hanwen Zha, Yu Su, Xifeng Yan. 37-45 [doi]
• Mixtures of Block Models for Brain NetworksZilong Bai, Peter B. Walker, Ian Davidson. 46-54 [doi]
• Causal Inference on Event SequencesKailash Budhathoki, Jilles Vreeken. 55-63 [doi]
• Outlier Detection over Distributed Trajectory StreamsJiali Mao, Pengda Sun, Cheqing Jin, Aoying Zhou. 64-72 [doi]
• JUMP: A Fast Deterministic Algorithm to Find the Closest Pair of SubsequencesXingyu Cai, Shanglin Zhou, Sanguthevar Rajasekaran. 73-80 [doi]
• Streaming Tensor Factorization for Infinite Data SourcesShaden Smith, Kejun Huang, Nicholas D. Sidiropoulos, George Karypis. 81-89 [doi]
• k Quantile-based Cohesive Sequential PatternsLen Feremans, Boris Cule, Bart Goethals. 90-98 [doi]
• STAPLE: Spatio-Temporal Precursor Learning for Event ForecastingYue Ning, Rongrong Tao, Chandan K. Reddy, Huzefa Rangwala, James C. Starz, Naren Ramakrishnan. 99-107 [doi]
• Near-Optimal Mapping of Network States using ProbesBijaya Adhikari, Pavan Rangudu, B. Aditya Prakash, Anil Vullikanti. 108-116 [doi]
• Network Inference from Contrastive Groups Using Discriminative Structural RegularizationRuihua Cheng, Zhi Wei, Kai Zhang 0001. 117-125 [doi]
• Group Centrality Maximization via Network DesignSourav Medya, Arlei Silva, Ambuj K. Singh, Prithwish Basu, Ananthram Swami. 126-134 [doi]
• Robust Road Map Inference through Network Alignment of TrajectoriesRade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Sanjay Chawla, Fethi Filali, Ahid Aleimat. 135-143 [doi]
• AspEm: Embedding Learning by Aspects in Heterogeneous Information NetworksYu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han 0001. 144-152 [doi]
• Semi-supervised Embedding in Attributed Networks with OutliersJiongqian Liang, Peter Jacobs, Jiankai Sun, Srinivasan Parthasarathy 0001. 153-161 [doi]
• Online Truth Discovery on Time Series DataLiuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang. 162-170 [doi]
• Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination PredictionKunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das. 171-179 [doi]
• Who will Attend This Event Together? Event Attendance Prediction via Deep LSTM NetworksXian Wu, Yuxiao Dong, Baoxu Shi, Ananthram Swami, Nitesh V. Chawla. 180-188 [doi]
• You Are How You Move: Linking Multiple User Identities From Massive Mobility TracesHuandong Wang, Yong Li, Gang Wang, Depeng Jin. 189-197 [doi]
• Click versus Share: A Feature-driven Study of Micro-Video Popularity and Virality in Social MediaJingtao Ding, Yanghao Li, Yong Li, Depeng Jin. 198-206 [doi]
• A Probabilistic Hough Transform for Opportunistic Crowd-sensing of Moving Traffic ObstaclesMichiaki Tatsubori, Aisha Walcott-Bryant, Reginald E. Bryant, John Wamburu. 207-215 [doi]
• Interpretable Categorization of Heterogeneous Time Series DataRitchie Lee, Mykel J. Kochenderfer, Ole J. Mengshoel, Joshua Silbermann. 216-224 [doi]
• Efficient search of the best warping window for Dynamic Time WarpingChang Wei Tan, Matthieu Herrmann, Germain Forestier, Geoffrey I. Webb, François Petitjean. 225-233 [doi]
• Accelerating Time Series Searching with Large Uniform ScalingYilin Shen, Yanping Chen 0005, Eamonn J. Keogh, Hongxia Jin. 234-242 [doi]
• Evolving Separating References for Time Series ClassificationXiaosheng Li, Jessica Lin 0001. 243-251 [doi]
• Classifying Multivariate Time Series by Learning Sequence-level Discriminative PatternsGuruprasad Nayak, Varun Mithal, Xiaowei Jia, Vipin Kumar. 252-260 [doi]
• Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk PredictionTengfei Ma, Cao Xiao, Fei Wang. 261-269 [doi]
• Uncorrelated Patient Similarity LearningMengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang. 270-278 [doi]
• EEG-based Motion Intention Recognition via Multi-task RNNsWeitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li. 279-287 [doi]
• Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing DataYan Li, Tao Yang, Jiayu Zhou, Jieping Ye. 288-296 [doi]
• Deep Attention Model for Triage of Emergency Department PatientsDjordje Gligorijevic, Jelena Stojanovic, Wayne Satz, Ivan Stojkovic, Kraftin Schreyer, Daniel Del Portal, Zoran Obradovic. 297-305 [doi]
• Learning Graph Representation via Frequent SubgraphsDang Nguyen 0002, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung. 306-314 [doi]
• On2Vec: Embedding-based Relation Prediction for Ontology PopulationMuhao Chen, Yingtao Tian, Xuelu Chen, Zijun Xue, Carlo Zaniolo. 315-323 [doi]
• On Spectral Graph Embedding: A Non-Backtracking Perspective and Graph ApproximationFei Jiang, Lifang He 0001, Yi Zheng, Enqiang Zhu, Jin Xu, Philip S. Yu. 324-332 [doi]
• A Family of Tractable Graph DistancesJosé Bento, Stratis Ioannidis. 333-341 [doi]
• Fast Flow-based Random Walk with Restart in a Multi-query SettingYujun Yan, Mark Heimann, Di Jin, Danai Koutra. 342-350 [doi]
• Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial GraphsPengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu C. Aggarwal. 351-359 [doi]
• Latitude: A Model for Mixed Linear-Tropical Matrix FactorizationSanjar Karaev, James Hook, Pauli Miettinen. 360-368 [doi]
• Topic Modeling based on Keywords and ContextJohannes Schneider, Michail Vlachos. 369-377 [doi]
• Discovering Hidden Topical Hubs and Authorities in Online Social NetworksRoy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim. 378-386 [doi]
• SamBaTen: Sampling-based Batch Incremental Tensor DecompositionEkta Gujral, Ravdeep Pasricha, Evangelos E. Papalexakis. 387-395 [doi]
• ParaSketch: Parallel Tensor Factorization via SketchingBo Yang, Ahmed S. Zamzam, Nicholas D. Sidiropoulos. 396-404 [doi]
• The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix FactorizationSibylle Hess, Nico Piatkowski, Katharina Morik. 405-413 [doi]
• Exploiting Structure for Fast Kernel LearningTrefor W. Evans, Prasanth B. Nair. 414-422 [doi]
• Global Nonlinear Metric Learning by Gluing Local Linear MetricsYaxin Peng, Lingfang Hu, Shihui Ying, Chaomin Shen. 423-431 [doi]
• Co-regularized Monotone Retargeting for Semi-supervised LeTORShalmali Joshi, Rajiv Khanna, Joydeep Ghosh. 432-440 [doi]
• Markov Chain MonitoringHarshal A. Chaudhari, Michael Mathioudakis, Evimaria Terzi. 441-449 [doi]
• Multi-view Weak-label Learning based on Matrix CompletionQiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang 0035, Zili Zhang. 450-458 [doi]
• Efficient and Effective Accelerated Hierarchical Higher-Order Logistic Regression for Large Data QuantitiesNayyar A. Zaidi, François Petitjean, Geoffrey I. Webb. 459-467 [doi]
• Discriminative Prototype Set Learning for Nearest Neighbor ClassificationShin Ando. 468-476 [doi]
• ALE: Additive Latent Effect Models for Grade PredictionZhiyun Ren, Xia Ning, Huzefa Rangwala. 477-485 [doi]
• A Salient Ensemble of Trees using Cascaded Linear Classifiers with Feature-Cost ConstraintsChien-Wen Huang, Chung-Kuang Chou, Ming-Syan Chen. 486-494 [doi]
• An LSTM Approach to Patent Classification based on Fixed Hierarchy VectorsMarawan Shalaby, Jan Stutzki, Matthias Schubert, Stephan Günnemann. 495-503 [doi]
• Limited-memory Common-directions Method for Distributed Ll-regularized Linear ClassificationWei-Lin Chiang, Yu-Sheng Li, Ching-Pei Lee, Chih-Jen Lin. 504-512 [doi]
• A Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural NetworksTushar Semwal, Promod Yenigalla, Gaurav Mathur, Shivashankar B. Nair. 513-521 [doi]
• Sparse Decomposition for Time Series Forecasting and Anomaly DetectionSunav Choudhary, Gaurush Hiranandani, Shiv Kumar Saini. 522-530 [doi]
• StreamCast: Fast and Online Mining of Power Grid Time SequencesBryan Hooi, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos. 531-539 [doi]
• Exact Mean Computation in Dynamic Time Warping SpacesMarkus Brill, Till Fluschnik, Vincent Froese, Brijnesh J. Jain, Rolf Niedermeier, David Schultz. 540-548 [doi]
• Framework for Inferring Leadership Dynamics of Complex Movement from Time SeriesChainarong Amornbunchornvej, Tanya Y. Berger-Wolf. 549-557 [doi]
• Brain EEG Time Series Selection: A Novel Graph-Based Approach for ClassificationChenglong Dai, Jia Wu, Dechang Pi, Lin Cui. 558-566 [doi]
• A Rare and Critical Condition Search Technique and its Application to Telescope Stray Light AnalysisKeiichi Kisamori, Takashi Washio, Yoshio Kameda, Ryohei Fujimaki. 567-575 [doi]
• Revenue Maximization on the Multi-grade ProductYa-Wen Teng, Chih-Hua Tai, Philip S. Yu, Ming-Syan Chen. 576-584 [doi]
• Avoidance Region Discovery: A Summary of ResultsEmre Eftelioglu, Xun Tang, Shashi Shekhar. 585-593 [doi]
• Learning Convolutional Text Representations for Visual Question AnsweringZhengyang Wang, Shuiwang Ji. 594-602 [doi]
• Black-box Expectation Propagation for Bayesian ModelsXiMing Li, Changchun Li, Jinjin Chi, Jihong OuYang, Wenting Wang. 603-611 [doi]
• Learning to Interact with Users: A Collaborative-Bandit ApproachKonstantina Christakopoulou, Arindam Banerjee. 612-620 [doi]
• Robust Cost-Sensitive Learning for Recommendation with Implicit FeedbackPeng Yang, Peilin Zhao, Yong Liu, Xin Gao. 621-629 [doi]
• Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue GenerationMin Yang, Qiang Qu, Kai Lei, Jia Zhu, Zhou Zhao, Xiaojun Chen, Joshua Zhexue Huang. 630-638 [doi]
• Modeling Item-specific Effects for Video ClickFei Tan, Kuang Du, Zhi Wei, Haoran Liu, Chenguang Qin, Ran Zhu. 639-647 [doi]
• One-Class Recommendation with Asymmetric Textual FeedbackMengting Wan, Julian McAuley. 648-656 [doi]
• Online IT Ticket Automation Recommendation Using Hierarchical Multi-armed Bandit AlgorithmsQing Wang, Tao Li, S. S. Iyengar, Larisa Shwartz, Genady Ya. Grabarnik. 657-665 [doi]
• Reconstructing a cascade from temporal observationsHan Xiao, Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis. 666-674 [doi]
• Modeling Co-Evolution Across Multiple NetworksWenchao Yu, Charu C. Aggarwal, Wei Wang. 675-683 [doi]
• Multi-Layered Network EmbeddingJundong Li, Chen Chen 0022, Hanghang Tong, Huan Liu. 684-692 [doi]
• Maximizing the Effect of Information Adoption: A General FrameworkTianyuan Jin, Tong Xu, Hui Zhong, Enhong Chen, Zhefeng Wang, Qi Liu. 693-701 [doi]
• SMACD: Semi-supervised Multi-Aspect Community DetectionEkta Gujral, Evangelos E. Papalexakis. 702-710 [doi]
• Toward Relational Learning with MisinformationLiang Wu 0006, Jundong Li, Fred Morstatter, Huan Liu. 711-719 [doi]
• Personalized Ranking on Poisson FactorizationLi-Yen Kuo, Chung-Kuang Chou, Ming-Syan Chen. 720-728 [doi]
• Strongly Hierarchical Factorization Machines and ANOVA Kernel RegressionRuocheng Guo, Hamidreza Alvari, Paulo Shakarian. 729-737 [doi]
• A Novel Genetic Algorithm for Feature Selection in Hierarchical Feature SpacesPablo Nascimento da Silva, Alexandre Plastino, Alex Alves Freitas. 738-746 [doi]
• Making Kernel Density Estimation Robust towards Missing Values in Highly Incomplete Multivariate Data without ImputationRichard Leibrandt, Stephan Günnemann. 747-755 [doi]
• Dense Neighborhood Pattern Sampling in Numerical DataArnaud Giacometti, Arnaud Soulet. 756-764 [doi]