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ORCID16th ICDM 2016: Barcelona, Spain
- Francesco Bonchi, Josep Domingo-Ferrer, Ricardo Baeza-Yates, Zhi-Hua Zhou, Xindong Wu:
IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain. IEEE Computer Society 2016
Regular Papers
- Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian:
Auditing Black-Box Models for Indirect Influence. 1-10 - Inci M. Baytas
, Ming Yan, Anil K. Jain, Jiayu Zhou:
Asynchronous Multi-task Learning. 11-20 - Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet:
Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data. 21-30 - Jaroslaw Blasiok, Charalampos E. Tsourakakis:
ADAGIO: Fast Data-Aware Near-Isometric Linear Embeddings. 31-40 - Kailash Budhathoki, Jilles Vreeken:
Causal Inference by Compression. 41-50 - Jose Cadena, Anil Kumar S. Vullikanti, Charu C. Aggarwal:
On Dense Subgraphs in Signed Network Streams. 51-60 - Chien-Wei Chang, Hao-Yi Chih, Dean Chou, Yu-Chen Shu, Kun-Ta Chuang:
Relief of Spatiotemporal Accessibility Overloading with Optimal Resource Placement. 61-70 - Xiaowei Chen, John C. S. Lui:
Mining Graphlet Counts in Online Social Networks. 71-80 - Yan Chen, Ashwin Machanavajjhala, Jerome P. Reiter, Andrés F. Barrientos:
Differentially Private Regression Diagnostics. 81-90 - Alceu Ferraz Costa, Agma Juci Machado Traina, Caetano Traina Jr., Christos Faloutsos:
Vote-and-Comment: Modeling the Coevolution of User Interactions in Social Voting Web Sites. 91-100 - Yi Cui, Di Xiao, Dmitri Loguinov:
On Efficient External-Memory Triangle Listing. 101-110 - Soham De, Tom Goldstein:
Efficient Distributed SGD with Variance Reduction. 111-120 - Kai Fan, Yizhe Zhang, Ricardo Henao, Katherine A. Heller:
Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis. 121-130 - Maryam Fanaeepour, Benjamin I. P. Rubinstein:
Beyond Points and Paths: Counting Private Bodies. 131-140 - Alexander Fonarev, Alexander Mikhalev, Pavel Serdyukov, Gleb Gusev, Ivan V. Oseledets:
Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering. 141-150 - Hongchang Gao, Xiaoqian Wang, Heng Huang:
New Robust Clustering Model for Identifying Cancer Genome Landscapes. 151-160 - James Goulding, Simon Preston, Gavin Smith:
Event Series Prediction via Non-Homogeneous Poisson Process Modelling. 161-170 - Suyog Gupta, Wei Zhang, Fei Wang:
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study. 171-180 - Guyue Han, Harish Sethu:
Waddling Random Walk: Fast and Accurate Mining of Motif Statistics in Large Graphs. 181-190 - Ruining He, Julian J. McAuley:
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation. 191-200 - Lei Jia, Zhao Zhang, Lei Wang, Weiming Jiang, Ming-Bo Zhao:
Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and Classification. 201-210 - Janis Kalofolias, Esther Galbrun, Pauli Miettinen:
From Sets of Good Redescriptions to Good Sets of Redescriptions. 211-220 - Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian, Christos Faloutsos:
Edge Weight Prediction in Weighted Signed Networks. 221-230 - Yan Li, Lu Wang, Jie Wang, Jieping Ye, Chandan K. Reddy:
Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression. 231-240 - Kaixiang Lin, Jiayu Zhou:
Interactive Multi-task Relationship Learning. 241-250 - Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, Chenwei Zhang:
Augmented LSTM Framework to Construct Medical Self-Diagnosis Android. 251-260 - Chen Liu, Ke Deng, Chaojie Li, Jianxin Li, Yanhua Li, Jun Luo:
The Optimal Distribution of Electric-Vehicle Chargers across a City. 261-270 - Chunchen Liu, Lu Feng, Ryohei Fujimaki:
Streaming Model Selection via Online Factorized Asymptotic Bayesian Inference. 271-280 - Hongfu Liu, Haiyi Mao, Yun Fu:
Robust Multi-View Feature Selection. 281-290 - Viktor Losing, Barbara Hammer, Heiko Wersing:
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift. 291-300 - Dijun Luo, Zhouyuan Huo, Yang Wang, Andrew J. Saykin, Li Shen, Heng Huang:
New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules. 301-310 - Xin Luo, Mingsheng Shang, Shuai Li:
Efficient Extraction of Non-negative Latent Factors from High-Dimensional and Sparse Matrices in Industrial Applications. 311-319 - John Matta, Tayo Obafemi-Ajayi, Jeffrey Borwey, Donald C. Wunsch, Gunes Ercal:
Robust Graph-Theoretic Clustering Approaches Using Node-Based Resilience Measures. 320-329 - Saskia Metzler, Stephan Günnemann, Pauli Miettinen:
Hyperbolae are No Hyperbole: Modelling Communities That are Not Cliques. 330-339 - Yuji Mo, Stephen D. Scott, Doug Downey:
Learning Hierarchically Decomposable Concepts with Active Over-Labeling. 340-349 - Abdullah Mueen, Nikan Chavoshi, Noor Abu-El-Rub, Hossein Hamooni, Amanda J. Minnich:
AWarp: Fast Warping Distance for Sparse Time Series. 350-359 - Mahdi Pakdaman Naeini, Gregory F. Cooper:
Binary Classifier Calibration Using an Ensemble of Near Isotonic Regression Models. 360-369 - Dheepikaa Natarajan, Sayan Ranu:
A Scalable and Generic Framework to Mine Top-k Representative Subgraph Patterns. 370-379 - Stefan Neumann, Rainer Gemulla, Pauli Miettinen:
What You Will Gain By Rounding: Theory and Algorithms for Rounding Rank. 380-389 - Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo:
A Fast Iterative Algorithm for Improved Unsupervised Feature Selection. 390-399 - Zhen Pan, Enhong Chen, Qi Liu, Tong Xu, Haiping Ma, Hongjie Lin:
Sparse Factorization Machines for Click-through Rate Prediction. 400-409 - Guansong Pang, Longbing Cao, Ling Chen, Huan Liu:
Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings. 410-419 - Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, U Kang:
Partition Aware Connected Component Computation in Distributed Systems. 420-429 - Young Woong Park, Diego Klabjan:
Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis. 430-438 - Soujanya Poria, Iti Chaturvedi, Erik Cambria, Amir Hussain:
Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis. 439-448 - Shuyao Qi, Nikos Mamoulis, Evaggelia Pitoura, Panayiotis Tsaparas:
Recommending Packages to Groups. 449-458 - Saket Sathe, Charu C. Aggarwal:
Subspace Outlier Detection in Linear Time with Randomized Hashing. 459-468 - Kijung Shin, Tina Eliassi-Rad, Christos Faloutsos:
CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms. 469-478 - Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy:
L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization. 479-488 - Mengting Wan, Julian J. McAuley:
Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems. 489-498 - Jingyuan Wang, Qian Gu, Junjie Wu, Guannan Liu, Zhang Xiong:
Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method. 499-508 - Xiaolong Wang, Jingjing Wang, Luo Jie, Chengxiang Zhai, Yi Chang:
Blind Men and The Elephant: Thurstonian Pairwise Preference for Ranking in Crowdsourcing. 509-518 - Wei Xiong, Bo Du, Lefei Zhang, Ruimin Hu, Dacheng Tao:
Regularizing Deep Convolutional Neural Networks with a Structured Decorrelation Constraint. 519-528 - Linli Xu, Zaiyi Chen, Qi Zhou, Enhong Chen, Nicholas Jing Yuan, Xing Xie:
Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains. 529-538 - Pei Yang, Jingrui He:
Heterogeneous Representation Learning with Structured Sparsity Regularization. 539-548 - Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong:
POI Recommendation: A Temporal Matching between POI Popularity and User Regularity. 549-558 - Han-Jia Ye, De-Chuan Zhan, Xiaolin Li, Zhen-Chuan Huang, Yuan Jiang:
College Student Scholarships and Subsidies Granting: A Multi-modal Multi-label Approach. 559-568 - Wei Ye, Samuel Maurus, Nina C. Hubig, Claudia Plant:
Generalized Independent Subspace Clustering. 569-578 - Chin-Chia Michael Yeh, Helga Van Herle, Eamonn J. Keogh:
Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series. 579-588 - Weiren Yu, Julie A. McCann:
Random Walk with Restart over Dynamic Graphs. 589-598 - Gang Zeng, Yuyi Wang, Juhua Pu, Xingwu Liu, Xiaoming Sun, Jialin Zhang:
Communities in Preference Networks: Refined Axioms and Beyond. 599-608 - Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Homophily, Structure, and Content Augmented Network Representation Learning. 609-618 - Huan Zhang, Cho-Jui Hsieh:
Fixing the Convergence Problems in Parallel Asynchronous Dual Coordinate Descent. 619-628 - Huan Zhang, Cho-Jui Hsieh, Venkatesh Akella:
HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent. 629-638 - Jianfei Zhang, Shengrui Wang, Josiane Courteau, Lifei Chen, Aurélien Bach, Alain Vanasse:
Predicting COPD Failure by Modeling Hazard in Longitudinal Clinical Data. 639-648 - Jie Zhang, Kuang Du, Ruihua Cheng, Zhi Wei, Chenguang Qin, Huaxin You, Sha Hu:
Reliable Gender Prediction Based on Users' Video Viewing Behavior. 649-658 - Lingxiao Zhang, Xiang Li, Haifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Yanzhen Zou, Bing Xie, Guotong Xie:
Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses. 659-668 - Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, Chengqi Zhang:
Inferring Latent Network from Cascade Data for Dynamic Social Recommendation. 669-678 - Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen:
Group Preference Aggregation: A Nash Equilibrium Approach. 679-688 - Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Multi-resolution Spatial Event Forecasting in Social Media. 689-698 - Hao Zhong, Chuanren Liu, Xinjiang Lu, Hui Xiong:
To be or Not to be Friends: Exploiting Social Ties for Venture Investments. 699-708 - Baojian Zhou, Feng Chen:
Graph-Structured Sparse Optimization for Connected Subgraph Detection. 709-718 - Dawei Zhou, Jingrui He, Yu Cao, Jae-sun Seo:
Bi-Level Rare Temporal Pattern Detection. 719-728 - Fengyuan Zhu, Guangyong Chen, Pheng-Ann Heng:
A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction. 729-738 - Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth J. Funning, Abdullah Mueen, Philip Brisk, Eamonn J. Keogh:
Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins. 739-748 - Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang:
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. 749-758 - Ali Zonoozi, Qirong Ho, Shonali Krishnaswamy, Gao Cong:
ConTrack: A Scalable Method for Tracking Multiple Concepts in Large Scale Multidimensional Data. 759-768
Short Papers
- Takuya Akiba, Kenko Nakamura, Taro Takaguchi:
Fractality of Massive Graphs: Scalable Analysis with Sketch-Based Box-Covering Algorithm. 769-774 - Takuya Akiba, Yoichi Iwata, Yosuke Sameshima, Naoto Mizuno, Yosuke Yano:
Cut Tree Construction from Massive Graphs. 775-780 - Basma Alharbi, Xiangliang Zhang:
Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social Ties. 781-786 - Albert Arockiasamy, Aristides Gionis, Nikolaj Tatti:
A Combinatorial Approach to Role Discovery. 787-792 - Kaustubh Beedkar, Rainer Gemulla:
DESQ: Frequent Sequence Mining with Subsequence Constraints. 793-798 - Davis W. Blalock, John V. Guttag:
EXTRACT: Strong Examples from Weakly-Labeled Sensor Data. 799-804 - Johannes Blömer, Sascha Brauer, Kathrin Bujna:
A Theoretical Analysis of the Fuzzy K-Means Problem. 805-810 - Swarup Chandra, Ahsanul Haque, Latifur Khan, Charu C. Aggarwal:
Efficient Sampling-Based Kernel Mean Matching. 811-816 - Nikan Chavoshi, Hossein Hamooni, Abdullah Mueen:
DeBot: Twitter Bot Detection via Warped Correlation. 817-822 - Junxiang Chen, Yale Chang, Brian Hobbs, Peter J. Castaldi, Michael H. Cho, Edwin K. Silverman, Jennifer G. Dy:
Interpretable Clustering via Discriminative Rectangle Mixture Model. 823-828 - Alex J. Chin, Timothy D. Goodrich, Michael P. O'Brien, Felix Reidl, Blair D. Sullivan, Andrew van der Poel:
Asymptotic Analysis of Equivalences and Core-Structures in Kronecker-Style Graph Models. 829-834 - Hyunsouk Cho, Jinyoung Yeo, Seung-won Hwang:
Event Grounding from Multimodal Social Network Fusion. 835-840 - Hong-Min Chu, Hsuan-Tien Lin:
Can Active Learning Experience Be Transferred? 841-846 - Xuan-Hong Dang, Arlei Silva, Ambuj K. Singh, Ananthram Swami, Prithwish Basu:
Outlier Detection from Network Data with Subnetwork Interpretation. 847-852 - Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott:
Incorporating Expert Feedback into Active Anomaly Discovery. 853-858 - Min Du, Feifei Li:
Spell: Streaming Parsing of System Event Logs. 859-864 - Tao-Yang Fu, Zhen Lei, Wang-Chien Lee:
Modeling Time Lags in Citation Networks. 865-870 - Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell:
Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis. 871-876 - Yanjie Fu, Junming Liu, Xiaolin Li, Xinjiang Lu, Jingci Ming, Chu Guan, Hui Xiong:
Service Usage Analysis in Mobile Messaging Apps: A Multi-label Multi-view Perspective. 877-882 - Akinori Fujino, Naonori Ueda:
A Semi-Supervised AUC Optimization Method with Generative Models. 883-888 - Sebastian Goebl, Annika Tonch, Christian Böhm, Claudia Plant:
MeGS: Partitioning Meaningful Subgraph Structures Using Minimum Description Length. 889-894 - Aubrey Gress, Ian Davidson:
Probabilistic Formulations of Regression with Mixed Guidance. 895-900 - Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou:
HLGPS: A Home Location Global Positioning System in Location-Based Social Networks. 901-906 - Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Jiawei Han:
Large-Scale Embedding Learning in Heterogeneous Event Data. 907-912 - Tias Guns, Achille Aknin, Jefrey Lijffijt, Tijl De Bie:
Direct Mining of Subjectively Interesting Relational Patterns. 913-918 - Baolin Guo, Chenping Hou, Feiping Nie, Dongyun Yi:
Semi-Supervised Multi-label Dimensionality Reduction. 919-924 - Kuan-Hao Huang, Hsuan-Tien Lin:
A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning. 925-930 - Shuji Hao, Peilin Zhao, Jing Lu, Steven C. H. Hoi, Chunyan Miao, Chi Zhang:
SOAL: Second-Order Online Active Learning. 931-936 - Ruining He, Charles Packer, Julian J. McAuley:
Learning Compatibility Across Categories for Heterogeneous Item Recommendation. 937-942 - Seyyed Abbas Hosseini, Ali Khodadadi, Ali Arabzadeh, Hamid R. Rabiee:
HNP3: A Hierarchical Nonparametric Point Process for Modeling Content Diffusion over Social Media. 943-948 - Jun Hu, Ping Li:
Improved and Scalable Bradley-Terry Model for Collaborative Ranking. 949-954 - Tsuyoshi Idé, Ankush Khandelwal, Jayant Kalagnanam:
Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection. 955-960 - Muhammad Imran, Sanjay Chawla, Carlos Castillo:
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting. 961-966 - Ishan Jindal, Matthew S. Nokleby, Xue-wen Chen:
Learning Deep Networks from Noisy Labels with Dropout Regularization. 967-972 - Jinhong Jung, Woojeong Jin, Lee Sael, U Kang:
Personalized Ranking in Signed Networks Using Signed Random Walk with Restart. 973-978 - Gilad Katz, Eui Chul Richard Shin, Dawn Song:
ExploreKit: Automatic Feature Generation and Selection. 979-984 - Kun Kuang, Meng Jiang, Peng Cui, Shiqiang Yang:
Steering Social Media Promotions with Effective Strategies. 985-990 - Jihwan Lee, Keehwan Park, Sunil Prabhakar:
Mining Statistically Significant Attribute Associations in Attributed Graphs. 991-996 - Clément Lesaege, François Schnitzler, Anne Lambert, Jean-Ronan Vigouroux:
Time-Aware User Identification with Topic Models. 997-1002 - Jundong Li, Xia Hu, Ling Jian, Huan Liu:
Toward Time-Evolving Feature Selection on Dynamic Networks. 1003-1008