Accepted Papers

DM236

An Aggressive Graph-based Selective Sampling Algorithm for Classification

Peng Yang, ASTAR; Peilin Zhao, ASTAR; Vincent Zheng, Advanced Digital Sciences Center; Xiao-Li Li, ASTAR

DM242

Predicting sports scoring dynamics with restoration and anti-persistence

Leto Peel, University of Colorado; Aaron Clauset, University of Colorado

DM251

Online Model Evaluation in a Large-Scale Computational Advertising Platform

Shahriar Shariat, Turn Inc.; Burkay Orten, Pinterest; Ali Dasdan, Turn Inc.

DM270

Robust PCA via Nonconvex Rank Approximation

Zhao Kang, Southern Illinois University Carbondale; Chong Peng, Southern Illinois University Carbondale; Qiang Cheng, Southern Illinois University Carbondale

DM274

Content-Aware Collaborative Filtering for Location Recommendation based on Human Mobility Data

Defu Lian, University of Electronic Science and Technology of China; Yong Ge, University of North Carolina at Charlotte; Fuzheng Zhang, Microsoft Research; Nicholas Jing Yuan, Microsoft Research; Xing Xie, Microsoft Research; Tao Zhou, University of Electronic Science and Technology of China; Yong Rui, Microsoft Research

DM278

Towards Frequent Subgraph Mining on Single Large Uncertain Graphs

Yifan Chen, National University of Defense Technology; Xiang Zhao, National University of Defense Technology; Xuemin Lin, The University of New South Wales

DM302

Deep Convolutional Neural Networks for Multi-Instance Multi-Task Learning

Tao Zeng, Old Dominion University; Shuiwang Ji, Old Dominion University

DM312

Exploiting Temporal and Social Factors for B2B Marketing Campaign Recommendations

Jingyuan Yang, Rutgers University; Chuanren Liu, Drexel University; Hui Xiong, Rutgers University

DM313

Learning Label Specific Features for Multi-Label Classification

Jun Huang, University of Chinese Academy of Sciences; Guorong Li, University of Chinese Academy of Sciences; Qingming Huang, Chinese Academy of Sciences; Xindong Wu, University of Vermont

DM318

Point-of-Interest Recommender Systems: A Separate-Space Perspective

Huayu Li, The University of North Carolina at Charlotte;  Yong Ge, The University of North Carolina at Charlotte

DM328

Top-k Reliability Search on Uncertain Graphs

Rong Zhu, Harbin Institute of Technology; Zhaonian Zou, Harbin Institute of Technology; Jianzhong Li, Harbin Institute of Technology

DM345

From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics Best Student Paper

Linyun Yu, Tsinghua University; Peng Cui, Tsinghua University; Fei Wang, University of Connecticut; Chaoming Song, University of Miami; Shiqiang Yang, Tsinghua University

DM351

Generative Models for Mining Latent Aspects and Their Ratings from Short Reviews

Huayu Li, The University of North Carolina at Charlotte;  Rongcheng Lin, The University of North Carolina at Charlotte;  Yong Ge, The University of North Carolina at Charlotte

DM360

Multi-level Approximate Spectral Clustering

Ming Dong, Wayne State University;  Lijun Wang, Wayne State University;  Alex Kotov, Wayne State University

DM370

Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process

Junyu Xuan, University of Technology Sydney; Jie Lu, University of Technology Sydney; Guangquan Zhang, University of Technology Sydney; Richard Yi Da Xu, University of Technology Sydney; Xiangfeng Luo, Shanghai University

DM386

Localized Multiple Kernel Experimental Design

Hanmo Wang, UCAS

DM388

Beyond Query: Interactive User Intention Understanding

Yang Yang, Tsinghua University; Jie Tang, Tsinghua University

DM396

Modeling Adoption and Usage of Competing Products

Isabel Valera, Max Planck Institute for Software Systems;  Manuel Gomez Rodriguez, MPI for Software Systems

DM403

Fast Parallel Mining of Maximally Informative k-Itemsets in Big Data

Saber Salah, INRIA; Reza Akbarinia, INRIA; Florent Masseglia, Inria & Lirmm,  Univ. Montpellier

DM406

Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis

Qi Mao, University at Buffalo - SUNY; Wei Zheng, University at Buffalo - SUNY; Li Wang, University of Victoria; Yunpeng Cai, Chinese Academy of Sciences; Volker Mai, University of Florida;  Yijun Sun, University at Buffalo - SUNY

DM408

Sparse Online Relative Similarity Learning

Dezhong Yao, Huazhong University of Science and Technology; Peilin Zhao, ASTAR; Chen Yu, Huazhong University of Science and Technology; Hai Jin, Huazhong University of Science and Technology; Bin Li, Wuhan University

DM414

Network Clustering via Maximizing Modularity: Approximation Algorithms and Theoretical Limits

Thang Dinh, Virginia Commonwealth University; Xiang Li, University of Florida; My T. Thai, University of Florida

DM452

Collaborative Multi-Domain Sentiment Classification

Fangzhao Wu, Tsinghua University; Yongfeng Huang, Tsinghua University

DM460

Ensemble of Diverse Sparsifications for Link Prediction in Large-Scale Networks

Yi-Ling Chen, National Taiwan University;  Ming-Syan Chen, National Taiwan University;  Philip S. Yu, University of Illinois at Chicago

DM506

Discovery of College Students in Financial Hardship

Chu Guan, University of Science and Technology of China; Xinjiang Lu, Northwestern Polytechnical University; Xiaolin Li, Nanjing University; Enhong Chen, University of Science and Technology of China; Wenjun Zhou, University of Tennessee Knoxville; Hui Xiong, Rutgers University

DM538

Multiple Anonymized Social Networks Alignment

Jiawei Zhang, University of Illinois at Chicago; Philip S. Yu, University of Illinois at Chicago

DM551

Domain-specific knowledge base enrichment using Wikipedia tables

Chenwei Ran, Tsinghua University; Wei Shen, Nankai University; Jianyong Wang, Tsinghua University; Xuan Zhu, Samsung R&D Institute China

DM557

Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment

Rui Liu, Case Western Reserve University; Wei Cheng, University of North Carolina at Chapel Hill; Hanghang Tong, Arizona State University; Wei Wang, University of California,  Los Angeles; Xiang Zhang, Case Western Reserve University

DM570

Convex Approximation to the Integral Mixture Models Using Step Functions

Yi Xu, Binghamton University; Yilin Zhu, Binghamton University; Zhongfei Zhang, Binghamton University; Yaqing Zhang, Zhejiang University; Philip S. Yu, University of Illinois at Chicago

DM578

Information Source Detection via Maximum A Posteriori Estimation

Biao Chang, University of Science and Technology of China; Feida Zhu, Singapore Management University; Enhong Chen, University of Science and Technology of China; Qi Liu, University of Science and Technology of China

DM585

Mining Multi-Aspect Reflection of News Events in Twitter: Discovery Linking and Presentation

Jingjing Wang, UIUC;  Wenzhu Tong, UIUC;  Hongkun Yu, UIUC;  Min Li, UIUC;  Xiuli Ma, UIUC;  Haoyan Cai, UIUC;  Tim Hanratty, Army Research Lab;  Jiawei Han, UIUC

DM601

Traveling Salesman in Reverse: Conditional Markov Entropy for Trajectory Segmentation

Mohamed Kafsi, EPFL;  Matthias Grossglauser, EPFL;  Patrick Thiran, EPFL

DM608

Knowing an Object by the Company It Keeps: A Domain-Agnostic Scheme for Similarity Discovery

Olof Gornerup, SICS Swedish ICT;  Daniel Gillblad, SICS Swedish ICT;  Theodore Vasiloudis, SICS Swedish ICT

DM629

Fast Low-Rank Matrix Learning with Nonconvex Regularization

Quanming Yao, Hong Kong University of Science and Technology; James T. KWOK, Hong Kong University of Science and Technology; Leon Wenliang Zhong, Hong Kong University of Science and Technology

DM630

KSTR: Keyword-aware Skyline Travel Route Recommendation

Wen-Chih Peng, National Chiao Tung University;  Yu-Ting Wen, National Chiao Tung University;  Seungwon Hwang, Postech; Kae-Jer Cho, National Chiao Tung University;  Jinyoung Yeo, Postech

DM633

Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications

Peilin Zhao, ASTAR; Furen Zhuang, ASTAR; Min Wu, ASTAR; Xiao-Li Li, ASTAR; Steven C.H. Hoi, Singapore Management University

DM634

Top-k Link Recommendation in Social Networks

Dongjin Song, University of California San Diego; David Meyer, University of California San Diego; Dacheng Tao, University of Technology Sydney

DM659

Automatic Taxonomy Extraction from Bipartite Graphs

Tobias Kötter, Carnegie Mellon University; Stephan Günnemann, Carnegie Mellon UniversityhrMichael Berthold, University of Konstanz;  Christos Faloutsos, Carnegie Mellon University

DM663

Exceptionally Monotone Models - the Rank Correlation Model Class for Exceptional Model Mining

Lennart Downar, TU Dortmund;  Wouter Duivesteijn, TU Dortmund

DM677

Weighted Spectral Cluster Ensemble

Muhammad Yousefnezhad, Nanjing University of Aeronautics and Astronautics; Daoqiang Zhang, Nanjing University of Aeronautics and Astronautics

DM678

Community Detection Based on Structure and Content: A Content Propagation Perspective

Liyuan Liu, University of Science and Technology of China; Linli Xu, University of Science and Technology of China; Zhen Wang, University of Science and Technology of China

DM692

Parallel Multi-Task Learning

Yu Zhang, Hong Kong Baptist University

DM698

Accurate Estimation of Generalization Performance for Active Learning

Aubrey Gress, University of California,  Davis;  Ian Davidson, University of California,  Davis

DM703

Mining Indecisiveness in Customer Behaviors

Qi Liu, University of Science and Technology of China; Xianyu Zeng, University of Science and Technology of China; Chuanren liu, Drexel University; Hengshu Zhu, Baidu Research-Big Data Lab; Enhong Chen, University of Science and Technology of China; Hui Xiong, Rutgers University; Xing Xie, Microsoft Research,  Microsoft

DM706

R^{2}FP: Rich and Robust Feature Pooling for Mining Visual Data

Wei Xiong, Wuhan University; Bo Du, Wuhan University; Lefei Zhang, Wuhan University; Ruimin Hu, Wuhan University; Wei Bian, University of Technology Sydney; Jialie Shen, Singapore Management University; Dacheng Tao, University of Technology Sydney

DM708

BrainQuest: Perception-Guided Brain Network Comparison

Lei Shi, Chinese Academy of Sciences; Hanghang Tong, Arizona State University; Xinzhu Mu, Tsinghua University

DM709

Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning

Yu-Kun Li, Southeast University; Min-Ling Zhang, Southeast University; Xin Geng, Southeast University

DM717

Jackknifing Documents and Additive Smoothing for Naive Bayes with Scarce Data

Vinay Deolalikar, Groupon

DM738

Max-Intensity: Detecting Competitive Advertiser Communities in Sponsored Search Market

Wenchao Yu, University of California,  Los Angeles; Ariyam Das, UCLA; Justin Wood, UCLA; Wei Wang, University of California,  Los Angeles; Carlo Zaniolo, UCLA; Ping Luo, Chinese Academy of Sciences

DM757

Modeling Emerging, Evolving and Fading Topics using Dynamic Soft Orthogonal NMF with Sparse Representation

Yong Chen, Beihang University; Rui Liu, Beihang University; Junjie Wu, BUAA; Xingguang Wang, Beihang University; Hui Zhang, Beihang University

DM774

Unobtrusive Sensing Incremental Social Contexts using Fuzzy Class Incremental Learning

Zhenyu Chen,Chinese Academy of Sciences; Yiqiang Chen,Chinese Academy of Sciences; Xingyu Gao,Chinese Academy of Sciences; Shuangquan Wang,Chinese Academy of Sciences; Lisha Hu,Chinese Academy of Sciences; Chenggang Clarence Yan,Tsinghua University; Nicholas D. Lane, Bell Labs; Chunyan Miao,Nanyang Technological University

DM822

Learning Predictive Substructures with Regularization for Network Data

Xuan Hong Dang, UCSB;  Hongyuan You, UCSB; Ambuj Singh, University of California;  Petko Bogdanov, University at Albany - SUNY

DM828

Finding Multiple Stable Clusterings

Juhua Hu, Simon Fraser University; Qi Qian, Michigan State University; Jian Pei, Simon Fraser University Burnaby; Rong Jin, Michigan State University; Shenghuo Zhu, Alibaba Group

DM833

Monitoring Stealthy Diffusion

Nika Haghtalab, Carnegie Mellon university;  Aron Laszka, Vanderbilt University;  Ariel D. Procaccia, Carnegie Mellon university;  Yevgeniy Vorobeychik, Vanderbilt University;  Xenofon Koutsoukos, Vanderbilt University

DM839

Controlling Propagation at Group Scale on Networks

Yao Zhang, Virginia Tech;  Abhijin Adiga, Virginia Tech;  Anil Vullikanti, Virginia Tech;  B. Aditya Prakash, Virginia Tech

DM842

The Impact of Patent Activities on Stock Dynamics in the High-Tech Sector

Constantine Vitt, Rutgers University;  Hui Xiong, Rutgers University

DM856

SimNest: Social Media Nested Epidemic Simulation via Online Semi-supervised Deep Learning

Liang Zhao, Virginia Tech;  Jiangzhuo Chen, Virginia Tech;  Feng Chen, University at Albany-SUNY; Wei Wang, Virginia Tech;  Chang-Tien Lu, Virginia Tech;  Naren Ramakrishnan, Virginia Tech

DM860

Diamond Sampling for Approximate Maximum All-pairs Dot-product (MAD) Search Best Paper

Grey Ballard, Sandia National Laboratories;  Seshadhri Comandur, University of California Santa Cruz;  Tamara Kolda, Sandia National Laboratories;  Ali Pinar, Sandia National Laboratories

DM862

Ensemble Kernel Mean Matching

Yun-Qian Miao, University of Waterloo; Ahmed Farahat, University of Waterloo; Mohamed Kamel, University of Waterloo

DM893

A Unified Gradient Regularization Family for Adversarial Examples

Chunchuan Lv, Xian Jiaotong-Liverpool University; Kaizhu Huang, Xian Jiaotong-Liverpool University; Hai-Ning Liang, Xian Jiaotong-Liverpool University

DM901

Time Series Segmentation to Discover Behavior Switching in Complex Physical Systems

Zheng Han, Lehigh University;  Haifeng Chen, NEC Laboratories America;  Tan Yan, NEC Laboratories America;  Geoff Jiang, NEC Laboratories America

DM912

Informative Prediction based on Ordinal Questionnaire Data

Tsuyoshi Ide, IBM Research;  Amit Dhurandhar, IBM Research

DM930

Complementary Aspect-based Opinion Mining Across Asymmetric Collections

Yuan Zuo, BUAA; Junjie Wu, BUAA; Hao Lin, BUAA; Fei Wang, BUAA; Ke Xu, BUAA

DM941

A Bayesian Hierarchical Model for Comparing Average F1 Scores

Dell Zhang, University of London; Jun Wang, University College London; Xiaoxue Zhao, University College London; Xiaoling Wang, East China Normal University

DM942

Modeling Social Attention for Stock Analysis: An Influence Propagation Perspective

Li Zhang, Stony Brook University;  Keli Xiao, Stony Brook University; Qi Liu, University of Science and Technology of China; Yefan Tao, University of Science and Technology of China; Yuefan Deng, Stony Brook University

DM978

Efficient Graphlet Counting for Large Networks

Nesreen Ahmed, Purdue University; Jennifer Neville, Purdue University; Ryan Rossi, Purdue University; Nick Duffield, Texas A&M

DM979

Influential Sustainability on Social Networks

Chien-Wei Chang, National Cheng Kung University;  Po-An Yang, National Cheng Kung University;  Ming-Han Lyu, National Cheng Kung University;  Kun-Ta Chuang, National Cheng Kung University

DM1003

Accelerating Exact Similarity Search on CPU-GPU Systems

Takazumi Matsumoto, The Hong Kong Polytechnic University; Man Lung Yiu, The Hong Kong Polytechnic University

DM213

Dissecting Regional Weather-Traffic Sensitivity throughout a City

Ye Ding, The Hong Kong University of Science and Technology; Yanhua Li, University of Minnesota;  Ke Deng, RMIT University; Haoyu Tan, The Hong Kong University of Science and Technology; Mingxuan Yuan, Huawei Technologies Co. Ltd.; Lionel M. Ni, The Hong Kong University of Science and Technology

DM235

Mining Brain Networks using Multiple Side Views for Neurological Disorder Identification

Bokai Cao, University of Illinois At Chicago; Xiangnan Kong, Worcestor Polytechnic Institute; Jingyuan Zhang, University of Illinois At Chicago; Philip Yu, University of Illinois at Chicago;  Ann Ragin, Northwestern University

DM244

DRN: Bringing Greedy Layer-wised Training into Time Dimension

Xiaoyi Li, SUNY Buffalo; Xiaowei Jia, SUNY Buffalo; Hui Li, SUNY Buffalo; Houping Xiao, SUNY Buffalo; Jing Gao, SUNY Buffalo; Aidong Zhang, SUNY Buffalo

DM299

A General Suspiciousness Metric for Dense Blocks in Multimodal Data

Meng Jiang, Tsinghua University; Alex Beutel, Carnegie Mellon University;  Peng Cui, Tsinghua University; Bryan Hooi, Carnegie Mellon University;  Shiqiang Yang, Tsinghua University; Christos Faloutsos, Carnegie Mellon University

DM308

GS-Orthogonalization based ``Basis Feature" Selection from Word Co-occurrence Matrix

Deqing Wang, Beihang University; Hui Zhang, Beihang University

DM310

CNL: Collective Network Linkage across Heterogeneous Social Platforms

Ming Gao, East China Normal University; Ee-Peng Lim, Singapore Management University; David Lo, Singapore Management University; Feida Zhu, Singapore Management University; Philips Kokoh Prasetyo, Singapore Management University; Aoying Zhou, East China Normal University

DM323

Scalable Hypergraph Learning and Processing

Jin Huang, University of Melbourne; Rui Zhang, University of Melbourne; Jeffrey Xu Yu, Chinese University of Hong Kong

DM331

Theoretical and Empirical Criteria for the Edited Nearest Neighbour Classifier

Ludmila I. Kuncheva, Bangor University; Mikel Galar, Universidad Publica de Navarra,  Spain

DM349

Finding Time-Critical Responses for Information Seeking in Social Media

Suhas Ranganath, Arizona State University;  Suhang Wang, Arizona State University; Xia Hu, Arizona State University;  Jiliang Tang, Yahoo Labs;  Huan Liu, Arizona State University

DM367

Adaptive Heterogeneous Ensemble Learning Using the Context of Test Instances

Anuj Karpatne, University of Minnesota; Vipin Kumar, University of Minnesota

DM373

Analysis of Spectral Space Properties of Directed Graphs using Matrix Perturbation Theory with Application in Graph Partition

Yuemeng Li, University of North Carolina at Charlotte; Xintao Wu, University of Arkansas;  Aidong Lu, University of North Carolina at Charlotte

DM385

Freedom: Online Activity Recognition via Dictionary-based Sparse Representation of RFID Sensing Data

Lina Yao, The University of Adelaide; Quan Z. Sheng, The University of Adelaide; Xue Li, The University of Queensland; Sen Wang, The University of Queensland; Tao Gu, RMIT University; Wenjie Ruan, The University of Adelaide; Wan Zou, The University of Adelaide

DM394

Sequential Model-free Hyperparameter Tuning

Martin Wistuba, University of Hildesheim;  Nicolas Schilling, University of Hildesheim;  Lars Schmidt-Thieme, University of Hildesheim

DM395

Spatio-temporal Topic Models for Check-in Data

Yu Liu, The University of Hong Kong; Martin Ester, Simon Fraser University; Bo Hu, Simon Fraser University; David W. Cheung, The University of Hong Kong

DM398

The ABACOC Algorithm: a Novel Approach for Nonparametric Classification of Data Streams

Rocco de rosa, Unimi,  Italia; Francesco Orabona, Yahoo! Labs;  Nicolò Cesa-Bianchi, Unimi,  Italio

DM415

Sparse Hierarchical Tucker and its Application to Healthcare

Ioakeim Perros, Georgia Institute of Technology; Robert Chen, Georgia Institute of Technology;  Richard Vuduc, Georgia Institute of Technology; Jimeng Sun, Georgia Tech

DM418

Clustering with Partition Level Side Information

Hongfu Liu, Northeastern University; Yun Fu, Northeastern University

DM427

Experience-aware Item Recommendation in Evolving Review Communities

Subhabrata Mukherjee, Max Planck Institute for Informatics;  Hemank Lamba, Carnegie Mellon University; Gerhard Weikum, Max Planck Institute for Informatics

DM435

The Convergence Behavior of Naive Bayes on Large Sparse Datasets

Xiang Li, The University of Western Ontario; Charles Ling, Western Univeristy; Huaimin Wang, National University of Defense Technology

DM439

A Data Driven Approach to Uncover Deficiencies in Online Reputation Systems

Hong Xie, The Chinese University of Hong Kong; John C.S. Lui, The Chinese University of Hong Kong

DM448

Semantic-based Recommendation Across Heterogeneous Domains

Deqing Yang, Fudan University; Yanghua Xiao, Fudan University; Yangqiu Song, UIUC;  Wei Wang, Fudan Univerisity

DM461

Iterative Classification for Sanitizing Large-Scale Datasets

Bo Li, Vanderbilt University;  Yevgeniy Vorobeychik, Vanderbilt University;  Rachel Li, Vanderbilt University;  Bradley Malin, Vanderbilt University

DM470

Learning User Preferences across Multiple Aspects for Merchant Recommendation

Xin Li, University of Science and Technology of China; Guandong Xu, University of Technology Sydney; Enhong Chen, University of Science and Technology of China; Lin Li, Wuhan University of Technology

DM489

Personalized Grade Prediction: A Data Mining Approach

Yannick Meier, ETH Zurich;  Jie Xu, University of California,  Los Angeles; Onur Atan, University of California,  Los Angeles; Mihaela van der Schaar, University of California,  Los Angeles

DM493

A parameter-free approach for mining robust sequential classification rules

Elias Egho, Orange Labs; Dominique Gay, Orange Labs; Marc Boulle, Orange Labs; Nicolas Voisine, Orange Labs; Fabrice Clerot, Orange Labs

DM495

Detecting Overlapping Communities from Local Spectral Subspaces

Kun He, Huazhong University of Science and Technology; Yiwei Sun, Huazhong University of Science and Technology; David Bindel, Cornell University; John E. Hopcroft, Cornell University; Yixuan Li, Cornell University

DM521

Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning

Handong Zhao, Northeastern University;  Zhengming Ding, Northeastern University;  Ming Shao, Northeastern University;  Yun Fu, Northeastern University

DM539

A Multi-label Ensemble Method based on Minimum Ranking Margin Maximization

Shaodan Zhai, Wright State University;  Chenyang Zhao, Wright State University;  Tian Xia, Wright State University;  Shaojun Wang, Wright State University

DM549

Efficient Entity Resolution with Adaptive and Interactive Training Data Selection

Peter Christen, ANu; Dinusha Vatsalan, The Australian National University; Qing Wang, Australian National University

DM553

CrowdTC:Crowdsourced Taxonomy Construction

Rui MENG, HKUST; Yongxin Tong, Beihang University; Lei Chen, The Hong Kong University of Science and Technology; Caleb Chen Cao, HKUST

DM556

From 0.5 Million to 2.5 Million: Efficiently Scaling up Real-Time Bidding

Jianqiang Shen, Turn Inc.; Burkay Orten, Turn Inc.; Sahin Geyik, Turn Inc.; Daniel Liu, Turn Inc.; Shahriar Shariat, Turn Inc.; Fang Bian, Turn Inc.; Ali Dasdan, Turn Inc.

DM562

Population Synthesis via k-Nearest Neighbor Crossover Kernel

Naoki Hamada, Fujitsu Laboratories Ltd.; Katsumi Homma, Fujitsu Laboratories Ltd.; Hiroyuki Higuchi, Fujitsu Laboratories Ltd.; Hideyuki Kikuchi, Fujitsu Laboratories Ltd.

DM564

Rare Category Detection on Time-Evolving Graphs

Dawei Zhou, Arizona State University;  Jingrui He, Arizona State University

DM569

Geo-social Clustering of Places from Check-in Data

Shivam Srivastava, IIT Madras; Shiladitya Pande, IIT Madras; Sayan Ranu, IIT Madras; On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control; Chen Chen, Arizona State University;  Jingrui He, Arizona State University;  Nadya Bliss, Arizona State University;  Hanghang Tong, Arizona State University

DM589

Differentially Private Random Forest with High Utility

Santu Rana, Deakin University; Sunil Gupta, Deakin University; Svetha Venkatesh, Deakin University

DM595

Learning Set Cardinality in Distance Nearest Neighbours

Christos Anagnostopoulos, University of Glasgow; Peter Triantafillou, University of Glasgow

DM637

Logdet Divergence Based Sparse Non-negative Matrix Factorization for Stable Representation

Qing Liao, The Hong Kong University of Science and Technology; Naiyang Guan, National University of Defense Technology; Qian Zhang, The Hong Kong University of Science and Technology

DM639

Learning Career Mobility and Human Activity Patterns for Job Change Analysis

Huang Xu, Northwestern Polytechnical University; Zhiwen Yu, Northwestern Polytechnical Universtiy; Hui Xiong, Rutgers University; Bin Guo, Northwestern Polytechnical University; Hengshu Zhu, Baidu Research-Big Data Lab

DM660

Representation Learning via Semi-supervised Autoencoder for Multi-task Learning

Fuzhen Zhuang, ICT; Dan Luo, Chinese Academy of Sciences; Xin Jin, Chinese Academy of Sciences; Hui Xiong, Rutgers University; Ping Luo, Chinese Academy of Sciences; Qing He, Chinese Academy of Sciences

DM676

LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda

Guang-He Lee, National Taiwan University;  Shou-de Lin, National Taiwan University

DM683

Absorbing random-walk centrality: Theory and algorithms

Charalampos Mavroforakis, Boston University;  Michael Mathioudakis, HIIT,  Finland; Aristides Gionis, Aalto University,  Finland

DM690

A Graph-based Hybrid Framework for Modeling Complex Heterogeneity

Pei Yang, Arizona State University; Jingrui He, Arizona State University

DM700

Fast Matrix-vector Multiplications for Large-scale Logistic Regression on Shared-memory Systems

Mu-Chu Lee, National Taiwan University;  Wei-Lin Chiang, National Taiwan University;  Chih-Jen Lin, National Taiwan University

DM707

MMFE: Multitask Multiview Feature Embedding

Qian Zhang, Beijing Samsung Telecom R&D Center; Lefei Zhang, Wuhan University; Bo Du, Wuhan University; Wei Zheng, Beijing Samsung Telecom R&D Center; Wei Bian, University of Technology Sydney; Dacheng Tao, University of Technology Sydney

DM721

Hierachies in directed networks

Nikolaj Tatti, Aalto University,  Finland

DM732

Transfer Learning via Relational Type Matching

Raksha Kumaraswamy, Indiana University Bloomington;  Phillip Odom, Indiana University Bloomington;  Kristian Kersting, Technical University of Dortmund;  David Leake, Indiana University Bloomington;  Sriraam Natarajan, Indiana University Bloomington

DM733

Collaborated Online Change-point Detection in Sparse Time Series for Online Advertising

Jie Zhang, New Jersey Institute of Technology;  Zhi Wei, New Jersey Institute of Technology;  Zhenyu Yan, Adobe Systems,  Inc.;  Abhishek Pani, Adobe Systems,  Inc.

DM750

Simultaneous Semi-NMF and PCA for Clustering

Kais Allab, University of Paris Descartes; Lazhar Labiod, University of Paris Descartes; Mohamed Nadif, University of Paris Descartes

DM755

Efficient Approximate Solutions to Mutual Information Based Global Feature Selection

Hemanth Venkateswara, Arizona State University; Prasanth Lade, Bosch Research and Technology; Binbin Lin, University of Michigan; Jieping Ye, University of Michigan; Sethuraman Panchanathan, Arizona State University

DM759

Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process

Edward Choi, Georgia Institute of Technology;  Nan Du, Georgia Institute of Technology;  Robert Chen, Georgia Institute of Technology;  Le Song, Georgia Institute of Technology; Jimeng Sun, Georgia Tech

DM765

Having a BLast: meta-learning and heterogeneous ensembles for data streams

Jan N. van Rijn, Leiden University; Geoffrey Holmes, University of Waikato; Bernhard Pfahringer, University of Waikato; Joaquin Vanschoren, Eindhoven University of Technology

DM786

A Cure Time Model for Joint Prediction of Outcome and Time-to-Outcome

Yuanyang Zhang, University of California; Bernie Daigle, University of California; Mitchell Cohen, University of California; Linda Petzold, University of California

DM803

Nonparametric Poisson Factorization Machine

Avijit Saha, IIT Madras; Ayan Acharya, UT Austin; Balaraman Ravindran, IIT Madras; Joydeep Ghosh, UT Austin

DM809

Two-Step Heterogeneous Finite Mixture Model Clustering for Mining Healthcare Databases

Ahmed Najjar, Laval University; Christian Gagné, Laval University; Daniel Reinharz, Laval University

DM810

Station Site Optimization in Bike Sharing Systems

Junming Liu, Rutgers University; Qiao Li, Rutgers University; Meng Qu, Rutgers University; Weiwei Chen, Rutgers University; Jingyuan Yang, Rutgers University; Hao Zhong, Rutgers University; Hui Xiong, Rutgers University; Yanjie Fu, Rutgers University

DM813

Task Assignment Optimization in Collaborative Crowdsourcing

Habibur Rahman, University of Texas at Arlington;  Senjuti Basu Roy, UW Tacoma;  Saravanan Thirumuruganathan, University of Texas at Arlington;  Sihem Amer-Yahia, CNRS,  LIG; Gautam Das, University of Texas at Arlington

DM835

KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks

Chenguang Wang, Peking University; Yangqiu Song, UIUC;  Haoran Li, Peking University; Ming Zhang, Peking University; Jiawei Han, UIUC

DM846

Catching the head tail, and everything in between: a streaming algorithm for the degree distribution

Olivia Simpson, University of California; C. Seshadhri, University of California; Andrew McGregor, University of Massachusetts

DM848

Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis P... <Preview truncated at 128 characters>

Yijun Zhao, Tufts University; Tanuja Chitnis, Harvard Medical School; Brian C. Healy, Harvard Medical School; Jennifer Dy, Northeastern University; Carla E. Brodley, Northeastern University

DM849

A generative spatial clustering model for random data through spanning trees

Leonardo Teixeira, Universidade Federal de Minas Gerais;  Renato Assuncao, Universidade Federal de Minas Gerais;  Rosangela Loschi, Universidade Federal de Minas Gerais

DM855

Feature Selection with Integrated Relevance and Redundancy Optimization

Linli Xu, University of Science and Technology of China; Qi Zhou, University of Science and Technology of China; Aiqing Huang, University of Science and Technology of China; Wenjun Ouyang, University of Science and Technology of China; Jingqi Wang; Enhong Chen, University of Science and Technology of China

DM867

Forensic-Style Analysis with Survival Trajectories

Pranjul Yadav, University of Minnesota; Michael Steinbach, University of Minnesota; Lisiane Pruinelli, University of Minnesota; Bonnie Westra, University of Minnesota; Connie Delaney, University of Minnesota; Vipin Kumar, University of Minnesota; Gyorgy Simon, University of Minnesota

DM895

A Hierarchical Framework for Learning Climate Science Data and Forecasting Extreme Weather Events

Dawei Wang, University of Massachusetts Boston; Wei Ding, University of Massachusetts Boston

DM903

Patent Citation Recommendation for Examiners

Tao-yang Fu, Penn State University;  Zhen Lei, Penn State University; Wang-Chien Lee, Pennsylvania State University

DM907

Quality Control for Crowdsourced Hierarchical Classification

Naoki Otani, Kyoto University; Yukino Baba, Kyoto University; Hisashi Kashima, Kyoto University

DM913

On Detecting Spammers from Product Reviews: A Hybrid Learning

Zhiang Wu, Nanjing University of Finance and Economics; Youquan Wang, Nanjing University of Finance and Economics; Yaqiong Wang, Beihang University; Junjie Wu, BUAA; Jie Cao, Nanjing University of Finance and Economics; Lu Zhang, Nanjing University of Finance and Economics

DM931

Measuring Large-Scale Dynamic Graph Similarity by RICom: RWR with Intergraph Compression

Jaekoo Lee, Seoul National University; Gunn Kim, Sejong University; Sungroh Yoon, Seoul National University

DM951

Towards Collusive Fraud Detection in Online Reviews

Chang Xu, Nanyang Technological University; Jie Zhang, Nanyang Technological University

DM955

Are you going to the party: depends who else is coming? [Learning hidden group dynamics via conditional latent tree models]

Forough Arabshahi, University of California Irvine; Furong Huang, University of California Irvine; Animashree Anandkumar, University of California Irvine; Carter T. Butts, University of California Irvine; Sean M. Fitzhugh, University of California Irvine

DM959

Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances

Ankush Khandelwal, University of Minnesota;  Varun Mithal, University of Minnesota;  Vipin Kumar, University of Minnesota

DM966

Automated Feature Learning: Mining Unstructured Data for Useful Abstractions

Abhishek Bafna, University of Michigan;  Jenna Wiens, University of Michigan

DM970

Outcomes Prediction via Time Intervals Related Patterns

Robert Moskovitch, Columbia University; Colin Walsh, Vanderbilt University; Fei Wang, University of Connecticut; George Hripcsak, Columbia University; Nicholas Tatonetti, Columbia University

DM981

Learning a Macroscopic Model of Cultural Dynamics

Aris Anagnostopoulos, Sapienza University of Rome; Mara Sorella, Sapienza University of Rome

DM995

Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic

Zitao Liu, University of Pittsburgh; Yan Yan, Yahoo! Labs; Milos Hauskrecht, University of Pittsburgh

DM1009

Towards Mining Trapezoidal Data Streams

Qin Zhang, QCIS,  University of Technology Sydney; Peng Zhang, QCIS,  University of Technology Sydney; Guodong Long, QCIS,  University of Technology Sydney; Chengqi Zhang, QCIS,  University of Technology Sydney; Xindong Wu, University of Vermont

DM1021

Variable Selection for Efficient Nonnegative Tensor Factorization

Keigo Kimura, Hokkaido University; Mineichi Kudo, Hokkaido University

DM1023

Supervised Topic Models for Microblog Classification

Saurabh Kataria, Palo Alto Research Center; Arvind Agarwal,Palo Alto Research Center