SIAM Conference on Data Mining (SDM13)
Accepted Papers

May 2 - May 4, 2013
Austin, Texas, USA


[Back to Program Updates]  [Oral]  [Posters]

Papers for oral presentations and poster presentations are with equal quality. The division of oral and poster sessions are based on the paper topics only. Each oral presentation will have 25 minutes (Q/A inclusion); each poster presentation will have an oral poster spotlight presentation for 2 minutes in addition to a poster (the poster size will be announced by SIAM later).


Oral Sessions:
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Session 1: Mining with Big Data (May 2, Morning, Chair: Dr. B. Aditya Prakash)
88.Fast Exact Max-Kernel Search
    Ryan Curtin, Parikshit Ram, Alexander Gray
338.Triadic Measures on Graphs: The Power of Wedge Sampling
    Comandur Seshadri, Ali Pinar, Tamara Kolda
36.Maximal Deviations of Incomplete U-statistics with Applications to Empirical Risk Sampling
    Stephan Clémen?on, Sylvain Robbiano, Jessica Tressou
129.NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks
    Misael Mongiovi, Petko Bodganov, Razvan Ranca, Evangelos Papalexakis, Christos Faloutsos
89.Mining Connection Pathways for Marked Nodes in Large Graphs
    Leman Akoglu, Jilles Vreeken, Hanghang Tong, Polo Chau, Nikolaj Tatti, Christos Faloutsos

Session2: Mining with Uncertain and Noisy data (May 2, Morning, Chair: Dr. Philip Kegelmeyer)
95.Missing or Inapplicable: Treatment of incomplete continuous-valued features in supervised learning
    Prakash Mandayam Comar, Lei Liu, Sabyasachi Saha, Pang-Ning Tan, Antonio Nucci
192.Patient Risk Prediction Model via Top-k Stability Selection
    Jiayu Zhou, Jimeng Sun, Yashu Liu, Jianying Hu, Jieping Ye
232.Collective Kernel Construction in Noisy Environment
    Miao Zhang, Chris Ding
134.Mining Probabilistic Representative Frequent Patterns From Uncertain Data
    Chunyang Liu, Ling Chen, Chengqi Zhang
126.Discriminative Feature Selection for Uncertain Graph Classification
    Xiangnan Kong, Philip Yu, Xue Wang, Ann Ragin

Session 3: Clustering (May 2, Morning, Chair: Dr. Chandan Reddy)
280.Determining the Number of Clusters via Iterative Consensus Clustering
    Shaina Race, Carl Meyer, Kevin Valakuzhy
118.Spectral Constrained Clustering using L1 Regularization
    Jaya Kawale, Daniel Boley
178.Efficient Anytime Density-based Clustering
    Mai Son, Xiao He, Jing Feng, Christian B?hm
233.Evolutionary Soft Co-Clustering
    Wenlu Zhang, Shuiwang Ji, Rui Zhang
24.Sparse Subspace Clustering via Group Sparse Coding
    Budhaditya Saha, Duc Son Pham, Dinh Phung, Svetha Venkatesh

Session 4: Graph Stream Data Mining (May 2, Afternoon, Chair: Dr. Feida Zhu)
273.On Graph Stream Clustering with Side Information
    Yuchen Zhao, Philip Yu
324.Dynamic Community Detection in Weighted Graph Streams
    Chang-Dong Wang, Jian-Huang Lai, Philip Yu
105.DeltaCon: A Principled Massive-Graph Similarity Function
    Danai Koutra, Joshua Vogelstein, Christos Faloutsos
46.What's Your Next Move: User Activity Prediction in Location-based Social Networks
    Jihang Ye, Zhe Zhu, Hong Cheng
115.CoFiSet: Collaborative Filtering via Learning Pairwise Preferences over Item-sets
    Weike Pan, Li Chen

Session 5: Semi-Supervised and Active Learning (May 3, Morning, Chair: Dr. Romer Rosales)
191.SMART: Semi-Supervised Music Emotion Recognition with Social Tagging
    Bin Wu, Erheng Zhong, Hao Hu, Andrew Horner, Qiang Yang
226.Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning
    Ayan Acharya, Eduardo Hruschka, Joydeep Ghosh, Badrul Sarwar, jean-David Ruvini
197.Active Learning to Rank using Pairwise Supervision
    Buyue Qian, Hongfei Li, Jun Wang, Xiang Wang, Ian Davidson
35.ActNeT: Active Learning for Networked Texts in Microblogging
    Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu
237.Active Class Discovery and Learning for Networked Data
    Meng Fang, Jie Yin, Xingquan Zhu, Chengqi Zhang

Session 6: Anomaly & Outlier Detection (May 2, Afternoon, Chair: Dr. Nikunj Oza)
204.k-means--: A unified approach to clustering and outlier detection
    Sanjay Chawla, Aristides Gionis
17.CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection
    Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, fabian Keller, Klemens B?hm
260.Cost-Sensitive Double Updating Online Learning and Its Application to Online Anomaly Detection
    Peilin Zhao, Steven Hoi
78.Efficient Globally Optimal Rule Selection on Large Imbalanced Data Based on Rule Coverage Relationship Analysis
    Jinjiu Li, Can Wang, Philip Yu, Longbing Cao
169.Outlier Detection with Space Transformation and Spectral Analysis
    Xuan Hong Dang, Ira Assent, barbora Micenkova, Raymond Ng

Session 7: Applications (May 3, Morning, Chair: Dr. Hui Xiong)
315.Climate Multi-model Regression Using Spatial Smoothing
    Karthik Subbian, Arindam Banerjee
333.Distribution Regularized Regression Framework for Climate Modeling
    Zubin Abraham, Pang-Ning Tan, Perdinan Perdinan, Julie Winkler, Shiyuan Zhong, Malgorzata Liszewska
103.Sparse Representation for HIV-1 Protease Drug Resistance Prediction
    Xiaxia Yu, Irene Weber, Robert Harrison
27.Dynamic Shaker Detection from Evolving Entities
    Xiaoxiao Shi, Wei Fan, Philip Yu
153.Monitoring and mining GPS traces in transit space
    Leon Stenneth, Philip S. Yu

Session 8: Multi-View and Multi-Source Data Mining (May 2, Afternoon, Chair: Dr. Shuiwang Ji)
122.Multi-objective Multi-view Spectral Clustering via Pareto Optimization
    Xiang Wang, Buyue Qian, Jieping Ye, Ian Davidson
190.Multi-Transfer: Transfer Learning with Multiple Views and Multiple Sources
    Ben Tan, Erheng Zhong, Evan Wei Xiang, Qiang Yang
70.Multi-View Clustering via Joint Nonnegative Matrix Factorization
    Jialu Liu, Chi Wang, Jiawei Han, Jing Gao
50.On Handling Negative Transfer and Imbalanced Distributions in Multiple Source Transfer Learning
    Liang Ge, Jing Gao, Hung Ngo, Kang Li, Aidong Zhang
73.Unsupervised Feature Selection for Multi-View Data in Social Media
    Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu

Session 9: Social Network Analysis (May 3, Afternoon, Chair: Dr. Shou-de Lin)
32.Exploiting Synchronicity Networks for Finding Valuables in Heterogeneous Networks
    Zhen Wen, Ching-Yung Lin
159.Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous Networks
    Hongbo Deng, Jiawei Han, Hao Li, Heng Ji, Hongning Wang, Yue Lu
206.Opinion maximization in social networks
    Aristides Gionis, Evamaria Terzi, Panayiotis Tsaparas
272.Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness
    Bin Liu, Hui Xiong
235.Community Detection with Prior Knowledge
    Karthik Subbian, Charu Aggarwal, Jaideep Srivastava, Philip Yu

Session 10: Classification and Sparse Methods (May 3, Afternoon, Chair: Dr. Steven Hoi)
66.Regularization of Latent Variable Models to Obtain Sparsity
    Ramnath Balasubramanyan, William Cohen
155.Sparse Max-Margin Multiclass and Multi-label Classifier Design for Fast Inference
    Tanuja Ganu, Shirish Shevade, Sundararajan Sellamanickam
304.An Empirical Study of the Suitability of Class Decomposition for Linear Models: When Does It Work Well?
    Francisco Ocegueda-Hernandez, Ricardo Vilalta
305.Reduced Set KPCA for Improving the Training and Execution Speed of Kernel Machines
    Hassan Kingravi, Patricio Vela, Alexander Gray
182.A new perspective on convex relaxations of sparse SVM
    Noam Goldberg, Sven Leyffer, Todd Munson



Posters:
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6. Time-sensitive Classification of Behavioral Data
    Shin Ando, Einoshin Suzuki
7. Very Fast Similarity Queries on Semi-Structured Data from the Web
    Bhavana Dalvi, William Cohen
8. A Hierarchical Probabilistic Model for Low Sample Rate Home-Use Energy Disaggregation
    Bingsheng Wang, Haili Dong, Arnold Boedihardj, Feng Chen, Chang-Tien Lu
26. IBSM: Interval-Based Sequence Matching
    Alexios Kotsifakos, Panagiotis Papapetrou, Vassilis Athitsos
42. Feature Selection by Joint Graph Sparse Coding
    Xiaofeng Zhu, Xindong Wu, Wei Ding, Shichao Zhang
52. Integrity Verification of K-means Clustering Outsourced to Infrastructure as a Service (IaaS) Providers
    Riulin Liu, Hui Wang, Philippos Mordohai, Hui Xiong
55. On the detectability of node grouping in networks
    Chi Wang, Hongning Wang, Jialu Liu, Ming Ji, Lu Su, Yuguo Chen, Jiawei Han
56. Time Series Classification under More Realistic Assumptions
    Bing Hu, Yanping Chen, Eamonn Keogh
68. Topic-Level Expert Modeling in Community Question Answering
    Tong Zhao, Chunping Li, Naiwen Bian, Mengya Li
77. Fractional Immunization in Networks
    B. Aditya Prakash, Lada Adamic, Theodore Iwashyna, Hanghang Tong, Christos Faloutsos
85. Discriminative Transfer Learning on Manifold
    Zheng Fang, Zhongfei (Mark) Zhang
114. Fast-Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets
    Thanawin Rakthanamanon, Eamonn Keogh
148. Set Coverage Problems in a One-Pass Data Stream
    Huiwen Yu, Dayu Yuan
151. Topic Models for Document Clustering
    Anna Drummond, Zografoula Vagena, Christopher Jermaine
162. It Is Not Just What We Say, But How We Say Them: LDA-based Behavior-Topic Model
    Minghui QIU, Feida Zhu, Jing Jiang
165. coSelect: Feature Selection with Instance Selection for Social Media Data
    Jiliang Tang, Huan Liu
179. Shattering and Compressing Networks for Betweenness Centrality
    Ahmet Erdem Sariyuce, Erik Saule, Kamer Kaya, Umit Catalyurek
199. Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces
    Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao
208. Selective Transfer Learning for Cross Domain Recommendation
    Zhongqi Lu, Erheng Zhong, Lili Zhao, Evan Wei Xiang, Weike Pan, Qiang Yang
216. Retweeting: An Act of Viral Users, Susceptible Users, or Viral Topics?
    Tuan-Anh Hoang, Ee Peng Lim
217. Joint Segmentation and Clustering in Text Corpuses
    Samuel Blasiak, Huzefa Rangwala, Sithu Sudarsan,
220. Pinch Ratio Clustering from a Topologically Intrinsic Lexicographic Ordering
    Douglas Heisterkamp, Jesse Johnson
228. Butterfly Mixing: Accelerating Incremental-Update Algorithms on Clusters
    Huasha Zhao, John Canny
250. SemInf: A Burst-based Semantic Influence Model for Biomedical Topic Influence
    Dan He, Douglas Parker
252. Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix
    Xiaohui Yan
256. Change Detection from Temporal Sequences of Class Labels: Application to Land Cover Change Mapping
    Varun Mithal, Ankush Khandelwal, Shyam Boriah, Karsten Steinhaeuser, Vipin Kumar
263. MODS: Multiple One-class Data Streams Learning from Homogeneous Data
    Bo Liu, Yanshan Xiao, Philip S. Yu
266. Robust Textual Data Streams Mining Based on Continuous Transfer Learning
    Bo Liu, Yanshan Xiao, Philip S. Yu, Longbing Cao
267. Sentiment Topic Model with Decomposed Prior
    Chengtao Li, Jianwen Zhang, Jian-Tao Sun, Zheng Chen
268. Modeling the Diffusion of Preferences on Social Networks
    Jing-Kai Lou, Fu-Min Wang, Chin-Hua Tsai, San-Chang Hung, Perng-Hwa Kung, Shou-de Lin
277. MC-MinH: Metagenome Clustering using Minwise based Hashing
    Zeehasham Rasheed, Huzefa Rangwala
281. Data-Driven Graphical Modeling of Macro Behavioral Targeting in Social Networks
    Yusheng Xie
293. Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships
    Zhengzhang Chen, John Jenkins, Jifeng Rao, Alok Choudhary, Fredrick Semazzi, Anatoli Melechko, Vipin Kumar, Nagiza Samatova
294. An Examination of Large-Scale Granger Causality Inference
    Mohammad Taha Bahadori, Yan Liu
307. A nonparametric mixture model for topic modeling over time
    Kumar Dubey, Ahmed Hefny, Sinead Williamson, Eric Xing
309. Bregman Divergences and Triangle Inequality
    Sreangsu Acharyya, Arindam Banerjee, Daniel Boley
318. Contextual Time Series Change Detection
    Xi Chen, Karsten Steinhaeuser, Shyam Boriah, Snigdhansu Chatterjee, Vipin Kumar
320. Finding Affordable and Collaborative Teams from a Network of Experts
    Mehdi Kargar, Morteza Zihayat, Aijun An
351. Modeling Clinical Time-Series Using Gaussian Process Sequences
    Zitao Liu, Lei Wu, Milos Hauskrecht