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ORCID13th SDM 2013: Austin, Texas, USA
- Proceedings of the 13th SIAM International Conference on Data Mining, May 2-4, 2013. Austin, Texas, USA. SIAM 2013, ISBN 978-1-61197-262-7
Session 1: Mining with Dig Data
- Ryan R. Curtin, Alexander G. Gray, Parikshit Ram:
Fast Exact Max-Kernel Search. 1-9 - Tamara G. Kolda
, Ali Pinar, C. Seshadhri:
Triadic Measures on Graphs: The Power of Wedge Sampling. 10-18 - Stéphan Clémençon, Sylvain Robbiano, Jessica Tressou:
Maximal Deviations of Incomplete U-statistics with Applications to Empirical Risk Sampling. 19-27 - Petko Bogdanov, Christos Faloutsos, Misael Mongiovì, Evangelos E. Papalexakis, Razvan Ranca, Ambuj K. Singh:
NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks. 28-36 - Leman Akoglu, Duen Horng Chau, Christos Faloutsos, Nikolaj Tatti, Hanghang Tong, Jilles Vreeken:
Mining Connection Pathways for Marked Nodes in Large Graphs. 37-45
Session 2: Mining with Uncertain and Noisy Data
- Lei Liu, Prakash Mandayam Comar, Antonio Nucci, Sabyasachi Saha, Pang-Ning Tan:
Missing or Inapplicable: Treatment of Incomplete Continuous-valued Features in Supervised Learning. 46-54 - Jianying Hu, Yashu Liu, Jimeng Sun, Jieping Ye, Jiayu Zhou:
Patient Risk Prediction Model via Top-k Stability Selection. 55-63 - Chris H. Q. Ding, Deguang Kong, Miao Zhang:
Collective Kernel Construction in Noisy Environment. 64-72 - Ling Chen, Chunyang Liu, Chengqi Zhang:
Mining Probabilistic Representative Frequent Patterns From Uncertain Data. 73-81 - Xiangnan Kong, Ann B. Ragin, Xue Wang, Philip S. Yu:
Discriminative Feature Selection for Uncertain Graph Classification. 82-93
Session 3: Clustering
- Carl Dean Meyer, Shaina Race, Kevin Valakuzhy:
Determining the Number of Clusters via Iterative Consensus Clustering. 94-102 - Jaya Kawale, Daniel Boley:
Constrained Spectral Clustering using L1 Regularization. 103-111 - Christian Böhm, Jing Feng, Xiao He, Son T. Mai:
Efficient Anytime Density-based Clustering. 112-120 - Shuiwang Ji, Wenlu Zhang, Rui Zhang:
Evolutionary Soft Co-Clustering. 121-129 - Duc-Son Pham, Dinh Q. Phung, Budhaditya Saha, Svetha Venkatesh:
Sparse Subspace Clustering via Group Sparse Coding. 130-138
Session 4: Graph Stream Data Mining
- Philip S. Yu, Yuchen Zhao:
On Graph Stream Clustering with Side Information. 139-150 - Jian-Huang Lai, Chang-Dong Wang, Philip S. Yu:
Dynamic Community Detection in Weighted Graph Streams. 151-161 - Christos Faloutsos, Danai Koutra, Joshua T. Vogelstein:
DELTACON: A Principled Massive-Graph Similarity Function. 162-170 - Hong Cheng, Jihang Ye, Zhe Zhu:
What's Your Next Move: User Activity Prediction in Location-based Social Networks. 171-179 - Li Chen, Weike Pan:
CoFiSet: Collaborative Filtering via Learning Pairwise Preferences over Item-sets. 180-188
Session 5: Anomaly & Outlier Detection
- Sanjay Chawla, Aristides Gionis:
k-means-: A Unified Approach to Clustering and Outlier Detection. 189-197 - Klemens Böhm, Fabian Keller, Emmanuel Müller, Hoang Vu Nguyen, Jilles Vreeken:
CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection. 198-206 - Steven C. H. Hoi, Peilin Zhao:
Cost-Sensitive Double Updating Online Learning and Its Application to Online Anomaly Detection. 207-215 - Longbing Cao, Jinjiu Li, Can Wang, Philip S. Yu:
Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis. 216-224 - Ira Assent, Xuan-Hong Dang, Barbora Micenková, Raymond T. Ng:
Outlier Detection with Space Transformation and Spectral Analysis. 225-233
Session 6: Multi-View and Multi-Source Data Mining
- Ian Davidson, Buyue Qian, Xiang Wang, Jieping Ye:
Multi-objective Multi-view Spectral Clustering via Pareto Optimization. 234-242 - Ben Tan, Evan Wei Xiang, Qiang Yang, Erheng Zhong:
Multi-Transfer: Transfer Learning with Multiple Views and Multiple Sources. 243-251 - Jing Gao, Jiawei Han, Jialu Liu, Chi Wang:
Multi-View Clustering via Joint Nonnegative Matrix Factorization. 252-260 - Jing Gao, Liang Ge, Kang Li, Hung Q. Ngo, Aidong Zhang:
On Handling Negative Transfer and Imbalanced Distributions in Multiple Source Transfer Learning. 261-269 - Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu:
Unsupervised Feature Selection for Multi-View Data in Social Media. 270-278
Session 7: Semi-Supervised and Active Learning
- Andrew Horner, Derek Hao Hu, Bin Wu, Qiang Yang, Erheng Zhong:
SMART: Semi-Supervised Music Emotion Recognition with Social Tagging. 279-287 - Ayan Acharya, Joydeep Ghosh, Eduardo R. Hruschka, Jean-David Ruvini, Badrul Sarwar:
Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning. 288-296 - Ian Davidson, Hongfei Li, Buyue Qian, Jun Wang, Xiang Wang:
Active Learning to Rank using Pairwise Supervision. 297-305 - Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu:
ActNeT: Active Learning for Networked Texts in Microblogging. 306-314 - Meng Fang, Jie Yin, Chengqi Zhang, Xingquan Zhu:
Active Class Discovery and Learning for Networked Data. 315-323
Session 8: Applications
- Karthik Subbian, Arindam Banerjee:
Climate Multi-model Regression Using Spatial Smoothing. 324-332 - Zubin Abraham, Malgorzata Liszewska, Perdinan, Pang-Ning Tan, Julie Winkler, Shiyuan Zhong:
Distribution Regularized Regression Framework for Climate Modeling. 333-341 - Robert W. Harrison, Irene T. Weber, Xiaxia Yu:
Sparse Representation for HIV-1 Protease Drug Resistance Prediction. 342-349 - Wei Fan, Xiaoxiao Shi, Philip S. Yu:
Dynamic Shaker Detection from Evolving Entities. 350-358 - Leon Stenneth, Philip S. Yu:
Monitoring and mining GPS traces in transit space. 359-368
Session 9: Social Network Analysis
- Ching-Yung Lin, Zhen Wen:
Exploiting Synchronicity Networks for Finding Valuables in Heterogeneous Networks. 369-377 - Hongbo Deng, Jiawei Han, Heng Ji, Hao Li, Yue Lu, Hongning Wang:
Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous Networks. 378-386 - Aristides Gionis, Evimaria Terzi, Panayiotis Tsaparas:
Opinion Maximization in Social Networks. 387-395 - Bin Liu, Hui Xiong:
Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness. 396-404 - Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Philip S. Yu:
Community Detection with Prior Knowledge. 405-413
Session 10: Classification and Sparse Methods
- Ramnath Balasubramanyan, William W. Cohen:
Regularization of Latent Variable Models to Obtain Sparsity. 414-422 - Tanuja Ganu, Sundararajan Sellamanickam, Shirish K. Shevade:
Sparse Max-Margin Multiclass and Multi-label Classifier Design for Fast Inference. 423-431 - Francisco Ocegueda-Hernandez, Ricardo Vilalta:
An Empirical Study of the Suitability of Class Decomposition for Linear Models: When Does It Work Well? 432-440 - Alexander G. Gray, Hassan A. Kingravi, Patricio A. Vela:
Reduced Set KPCA for Improving the Training and Execution Speed of Kernel Machines. 441-449 - Noam Goldberg, Sven Leyffer, Todd S. Munson:
A New Perspective on Convex Relaxations of Sparse SVM. 450-457
Posters
- Shin Ando, Einoshin Suzuki:
Time-sensitive Classification of Behavioral Data. 458-466 - Yan Liu, Mohammad Taha Bahadori:
An Examination of Practical Granger Causality Inference. 467-475 - Sreangsu Acharyya, Arindam Banerjee, Daniel Boley:
Bregman Divergences and Triangle Inequality. 476-484 - Samuel J. Blasiak, Huzefa Rangwala, Sithu Sudarsan:
Joint Segmentation and Clustering in Text Corpuses. 485-493 - Zhengzhang Chen, Alok N. Choudhary, John Jenkins, Vipin Kumar, Anatoli V. Melechko, Jinfeng Rao, Nagiza F. Samatova, Fredrick H. M. Semazzi:
Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships. 494-502 - Xi C. Chen, Karsten Steinhaeuser, Shyam Boriah, Snigdhansu Chatterjee, Vipin Kumar:
Contextual Time Series Change Detection. 503-511 - William W. Cohen, Bhavana Bharat Dalvi:
Very Fast Similarity Queries on Semi-Structured Data from the Web. 512-520 - Anna Drummond, Chris Jermaine, Zografoula Vagena:
Topic Models For Feature Selection in Document Clustering. 521-529 - Avinava Dubey, Ahmed Hefny, Sinead Williamson, Eric P. Xing:
A Nonparametric Mixture Model for Topic Modeling over Time. 530-538 - Zheng Fang, Zhongfei Zhang:
Discriminative Transfer Learning on Manifold. 539-547 - Dan He, Douglas Stott Parker Jr.:
SemInf: A Burst-based Semantic Influence Model for Biomedical Topic Influence. 548-559 - Douglas R. Heisterkamp, Jesse Johnson:
Pinch Ratio Clustering from a Topologically Intrinsic Lexicographic Ordering. 560-568 - Ee-Peng Lim, Tuan-Anh Hoang:
Retweeting: An Act of Viral Users, Susceptible Users, or Viral Topics? 569-577 - Bing Hu, Yanping Chen, Eamonn J. Keogh:
Time Series Classification under More Realistic Assumptions. 578-586 - Aijun An, Mehdi Kargar, Morteza Zihayat:
Finding Affordable and Collaborative Teams from a Network of Experts. 587-595 - Alexios Kotsifakos, Panagiotis Papapetrou, Vassilis Athitsos:
IBSM: Interval-Based Sequence Matching. 596-604 - San-Chuan Hung, Perng-Hwa Kung, Shou-De Lin, Jing-Kai Lou, Chin-Hua Tsai, Fu-Min Wang:
Modeling the Diffusion of Preferences on Social Networks. 605-613 - James Bailey, Jeffrey Chan, Kotagiri Ramamohanarao, Christopher Leckie, Wei Liu:
Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces. 614-622 - Milos Hauskrecht, Zitao Liu, Lei Wu:
Modeling Clinical Time Series Using Gaussian Process Sequences. 623-631 - Ruilin Liu, Philippos Mordohai, Wendy Hui Wang, Hui Xiong:
Integrity Verification of K-means Clustering Outsourced to Infrastructure as a Service (IaaS) Providers. 632-640 - Zhongqi Lu, Weike Pan, Evan Wei Xiang, Qiang Yang, Lili Zhao, Erheng Zhong:
Selective Transfer Learning for Cross Domain Recommendation. 641-649 - Shyam Boriah, Ankush Khandelwal, Vipin Kumar, Varun Mithal, Karsten Steinhaeuser:
Change Detection from Temporal Sequences of Class Labels: Application to Land Cover Change Mapping. 650-658 - Lada A. Adamic, Christos Faloutsos, Theodore J. Iwashyna, B. Aditya Prakash, Hanghang Tong:
Fractional Immunization in Networks. 659-667 - Eamonn J. Keogh, Thanawin Rakthanmanon:
Fast Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets. 668-676 - Huzefa Rangwala, Zeehasham Rasheed:
MC-MinH: Metagenome Clustering using Minwise based Hashing. 677-685 - Ümit V. Çatalyürek, Kamer Kaya, Ahmet Erdem Sariyüce, Erik Saule:
Shattering and Compressing Networks for Betweenness Centrality. 686-694 - Jiliang Tang, Huan Liu:
CoSelect: Feature Selection with Instance Selection for Social Media Data. 695-703 - Arnold P. Boedihardjo, Feng Chen, Haili Dong, Chang-Tien Lu, Bingsheng Wang:
A Hierarchical Probabilistic Model for Low Sample Rate Home-Use Energy Disaggregation. 704-712 - Yuguo Chen, Jiawei Han, Ming Ji, Jialu Liu, Lu Su, Chi Wang, Hongning Wang:
On the Detectability of Node Grouping in Networks. 713-721 - Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu:
MODS: Multiple One-class Data Streams Learning from Homogeneous Data. 722-730 - Longbing Cao, Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu:
Robust Textual Data Streams Mining Based on Continuous Transfer Learning. 731-739 - Ankit Agrawal, Zhengzhang Chen, Yu Cheng, Alok N. Choudhary, Haotian Liu, Md. Mostofa Ali Patwary, Yusheng Xie, Kunpeng Zhang:
Graphical Modeling of Macro Behavioral Targeting in Social Networks. 740-748 - Xueqi Cheng, Jiafeng Guo, Shenghua Liu, Yanfeng Wang, Xiaohui Yan:
Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix. 749-757 - Huiwen Yu, Dayu Yuan:
Set Coverage Problems in a One-Pass Data Stream. 758-766 - Zheng Chen, Chengtao Li, Jian-Tao Sun, Jianwen Zhang:
Sentiment Topic Model with Decomposed Prior. 767-775 - Tong Zhao, Naiwen Bian, Chunping Li, Mengya Li:
Topic-Level Expert Modeling in Community Question Answering. 776-784 - John F. Canny, Huasha Zhao:
Butterfly Mixing: Accelerating Incremental-Update Algorithms on Clusters. 785-793 - Jing Jiang, Minghui Qiu, Feida Zhu:
It Is Not Just What We Say, But How We Say Them: LDA-based Behavior-Topic Model. 794-802 - Wei Ding, Xindong Wu, Shichao Zhang, Xiaofeng Zhu:
Feature Selection by Joint Graph Sparse Coding. 803-811
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