11. ICDM 2011:
Vancouver,
BC,
Canada
Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu (Eds.):
11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011.
IEEE 2011, ISBN 978-0-7695-4408-3
Regular Papers
- Rezwan Ahmed, George Karypis:
Algorithms for Mining the Evolution of Conserved Relational States in Dynamic Networks.
1-10
- Pranay Anchuri, Mohammed J. Zaki, Omer Barkol, Ruth Bergman, Yifat Felder, Shahar Golan, Arik Sityon:
Infrastructure Pattern Discovery in Configuration Management Databases via Large Sparse Graph Mining.
11-20
- Shin Ando, Einoshin Suzuki:
Role-Behavior Analysis from Trajectory Data by Cross-Domain Learning.
21-30
- Hasna Barkia, Haytham Elghazel, Alex Aussem:
Semi-supervised Feature Importance Evaluation with Ensemble Learning.
31-40
- Justin D. Basilico, M. Arthur Munson, Tamara G. Kolda, Kevin R. Dixon, W. Philip Kegelmeyer:
COMET: A Recipe for Learning and Using Large Ensembles on Massive Data.
41-50
- Francesco Bonchi, Aristides Gionis, Antti Ukkonen:
Overlapping Correlation Clustering.
51-60
- Mohammad Taha Bahadori, Yan Liu, Dan Zhang:
Learning with Minimum Supervision: A General Framework for Transductive Transfer Learning.
61-70
- Siddhartha Bhattacharyya:
Confidence in Predictions from Random Tree Ensembles.
71-80
- Petko Bogdanov, Misael Mongiovì, Ambuj K. Singh:
Mining Heavy Subgraphs in Time-Evolving Networks.
81-90
- Xiao Cai, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Multi-Class L2, 1-Norm Support Vector Machine.
91-100
- Nan Cao, David Gotz, Jimeng Sun, Yu-Ru Lin, Huamin Qu:
SolarMap: Multifaceted Visual Analytics for Topic Exploration.
101-110
- Mostafa Haghir Chehreghani:
Efficiently Mining Unordered Trees.
111-120
- Yi-Cheng Chen, Wen-Chih Peng, Suh-Yin Lee:
CEMiner - An Efficient Algorithm for Mining Closed Patterns from Time Interval-Based Data.
121-130
- Prakash Mandayam Comar, Pang-Ning Tan, Anil K. Jain:
LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction.
131-140
- Avinava Dubey, Indrajit Bhattacharya, Mrinal Kanti Das, Tanveer A. Faruquie, Chiranjib Bhattacharyya:
Learning Dirichlet Processes from Partially Observed Groups.
141-150
- Wouter Duivesteijn, Arno J. Knobbe:
Exploiting False Discoveries - Statistical Validation of Patterns and Quality Measures in Subgroup Discovery.
151-160
- Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel:
An Efficient Greedy Method for Unsupervised Feature Selection.
161-170
- Hongliang Fei, Jun Huan:
Structured Feature Selection and Task Relationship Inference for Multi-task Learning.
171-180
- Yong Ge, Hui Xiong, Chuanren Liu, Zhi-Hua Zhou:
A Taxi Driving Fraud Detection System.
181-190
- Marjan Ghazvininejad, Mostafa Mahdieh, Hamid R. Rabiee, Parisa Khanipour Roshan, Mohammad Hossein Rohban:
Isograph: Neighbourhood Graph Construction Based on Geodesic Distance for Semi-supervised Learning.
191-200
- Christos Giatsidis, Dimitrios M. Thilikos, Michalis Vazirgiannis:
D-cores: Measuring Collaboration of Directed Graphs Based on Degeneracy.
201-210
- Amit Goyal, Wei Lu, Laks V. S. Lakshmanan:
SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold Model.
211-220
- Siyu Gu, Jun Yan, Lei Ji, Shuicheng Yan, Junshi Huang, Ning Liu, Ying Chen, Zheng Chen:
Cross Domain Random Walk for Query Intent Pattern Mining from Search Engine Log.
221-230
- Stephan Günnemann, Emmanuel Müller, Sebastian Raubach, Thomas Seidl:
Flexible Fault Tolerant Subspace Clustering for Data with Missing Values.
231-240
- T. Ryan Hoens, Nitesh V. Chawla, Robi Polikar:
Heuristic Updatable Weighted Random Subspaces for Non-stationary Environments.
241-250
- Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
Learning Tags from Unsegmented Videos of Multiple Human Actions.
251-259
- Po Hu, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi, Xiaoyan Zhu:
Generating Breakpoint-based Timeline Overview for News Topic Retrospection.
260-269
- Hao Huang, Shinjae Yoo, Hong Qin, Dantong Yu:
A Robust Clustering Algorithm Based on Aggregated Heat Kernel Mapping.
270-279
- Xin Jin, W. Scott Spangler, Ying Chen, Keke Cai, Rui Ma, Li Zhang, Xian Wu, Jiawei Han:
Patent Maintenance Recommendation with Patent Information Network Model.
280-289
- Ye Jin, Sriram Lakshminarasimhan, Neil Shah, Zhenhuan Gong, C. S. Chang, Jackie Chen, Stéphane Ethier, Hemanth Kolla, Seung-Hoe Ku, Scott Klasky, Robert Latham, Robert B. Ross, Karen Schuchardt, Nagiza F. Samatova:
S-preconditioner for Multi-fold Data Reduction with Guaranteed User-Controlled Accuracy.
290-299
- U. Kang, Christos Faloutsos:
Beyond 'Caveman Communities': Hubs and Spokes for Graph Compression and Mining.
300-309
- Anitha Kannan, Partha Pratim Talukdar, Nikhil Rasiwasia, Qifa Ke:
Improving Product Classification Using Images.
310-319
- Tushar Khot, Sriraam Natarajan, Kristian Kersting, Jude W. Shavlik:
Learning Markov Logic Networks via Functional Gradient Boosting.
320-329
- Hyungsul Kim, Sungjin Im, Tarek F. Abdelzaher, Jiawei Han, David Sheridan, Shobha Vasudevan:
Signature Pattern Covering via Local Greedy Algorithm and Pattern Shrink.
330-339
- Younghoon Kim, Kyuseok Shim:
TWITOBI: A Recommendation System for Twitter Using Probabilistic Modeling.
340-349
- Kleanthis-Nikolaos Kontonasios, Jilles Vreeken, Tijl De Bie:
Maximum Entropy Modelling for Assessing Results on Real-Valued Data.
350-359
- Florian Lemmerich, Frank Puppe:
Local Models for Expectation-Driven Subgroup Discovery.
360-369
- Bing Li, Weihua Xiong, Weiming Hu:
Context-Aware Multi-instance Learning Based on Hierarchical Sparse Representation.
370-377
- Cindy Xide Lin, Qiaozhu Mei, Jiawei Han, Yunliang Jiang, Marina Danilevsky:
The Joint Inference of Topic Diffusion and Evolution in Social Communities.
378-387
- Dong Liu, Shuicheng Yan, Yadong Mu, Xian-Sheng Hua, Shih-Fu Chang, Hong-Jiang Zhang:
Towards Optimal Discriminating Order for Multiclass Classification.
388-397
- Haishan Liu, Paea LePendu, Ruoming Jin, Dejing Dou:
A Hypergraph-based Method for Discovering Semantically Associated Itemsets.
398-406
- Qi Liu, Yong Ge, Zhongmou Li, Enhong Chen, Hui Xiong:
Personalized Travel Package Recommendation.
407-416
- Yang Liu, Fei Wu, Yin Zhang, Jian Shao, Yueting Zhuang:
Tag Clustering and Refinement on Semantic Unity Graph.
417-426
- Cheng Long, Raymond Chi-Wing Wong:
Minimizing Seed Set for Viral Marketing.
427-436
- Nigel Medforth, Ke Wang:
Privacy Risk in Graph Stream Publishing for Social Network Data.
437-446
- Pauli Miettinen:
Boolean Tensor Factorizations.
447-456
- Emilie Morvant, Amaury Habrard, Stéphane Ayache:
Sparse Domain Adaptation in Projection Spaces Based on Good Similarity Functions.
457-466
- Masud Moshtaghi, Christopher Leckie, Shanika Karunasekera, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks.
467-476
- Quang Nguyen, Hamed Valizadegan, Milos Hauskrecht:
Learning Classification with Auxiliary Probabilistic Information.
477-486
- Tam T. Nguyen, Kuiyu Chang, Siu Cheung Hui:
Word Cloud Model for Text Categorization.
487-496
- Xia Ning, George Karypis:
SLIM: Sparse Linear Methods for Top-N Recommender Systems.
497-506
- Jinoh Oh, Sun Park, Hwanjo Yu, Min Song, Seung-Taek Park:
Novel Recommendation Based on Personal Popularity Tendency.
507-516
- Charles Parker:
An Analysis of Performance Measures for Binary Classifiers.
517-526
- Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh:
Detection of Cross-Channel Anomalies from Multiple Data Channels.
527-536
- B. Aditya Prakash, Deepayan Chakrabarti, Michalis Faloutsos, Nicholas Valler, Christos Faloutsos:
Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks.
537-546
- Thanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi, Scott Evans:
Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data.
547-556
- Thanawin Rakthanmanon, Qiang Zhu, Eamonn J. Keogh:
Mining Historical Documents for Near-Duplicate Figures.
557-566
- Teemu Roos, Yuan Zou:
Analysis of Textual Variation by Latent Tree Structures.
567-576
- Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong:
Healing Sample Selection Bias by Source Classifier Selection.
577-586
- C. Seshadhri, Ali Pinar, Tamara G. Kolda:
An In-depth Study of Stochastic Kronecker Graphs.
587-596
- Fanhua Shang, Yuanyuan Liu, Fei Wang:
Learning Spectral Embedding for Semi-supervised Clustering.
597-606
- Junming Shao, Claudia Plant, Qinli Yang, Christian Böhm:
Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data.
607-616
- Kan Shao, Yandong Liu, Daniel B. Neill:
A Generalized Fast Subset Sums Framework for Bayesian Event Detection.
617-625
- Chao Shen, Tao Li:
Learning to Rank for Query-Focused Multi-document Summarization.
626-634
- Victor S. Sheng:
Simple Multiple Noisy Label Utilization Strategies.
635-644
- Kilho Shin:
Partitionable Kernels for Mapping Kernels.
645-654
- Arnaud Soulet, Chedy Raïssi, Marc Plantevit, Bruno Crémilleux:
Mining Dominant Patterns in the Sky.
655-664
- Michel Speiser, Gianluca Antonini, Abderrahim Labbi:
Ranking Web-Based Partial Orders by Significance Using a Markov Reference Model.
665-674
- Eirini Spyropoulou, Tijl De Bie:
Interesting Multi-relational Patterns.
675-684
- Luite Stegeman, Ad Feelders:
On Generating All Optimal Monotone Classifications.
685-694
- Souhaib Ben Taieb, Gianluca Bontempi:
Recursive Multi-step Time Series Forecasting by Perturbing Data.
695-704
- Nikolaj Tatti, Fabian Moerchen:
Finding Robust Itemsets under Subsampling.
705-714
- Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Fei Tony Liu:
Density Estimation Based on Mass.
715-724
- Mikalai Tsytsarau, Francesco Bonchi, Aristides Gionis, Themis Palpanas:
Diverse Dimension Decomposition of an Itemset Space.
725-734
- Michal Valko, Branislav Kveton, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht:
Conditional Anomaly Detection with Soft Harmonic Functions.
735-743
- Celine Vens, Fabrizio Costa:
Random Forest Based Feature Induction.
744-753
- Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos:
Class Imbalance, Redux.
754-763
- Hongxing Wang, Junsong Yuan, Yap-Peng Tan:
Combining Feature Context and Spatial Context for Image Pattern Discovery.
764-773
- Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation.
774-783
- Liaoruo Wang, Tiancheng Lou, Jie Tang, John E. Hopcroft:
Detecting Community Kernels in Large Social Networks.
784-793
- Xuezhi Wang, Jie Tang, Hong Cheng, Philip S. Yu:
ADANA: Active Name Disambiguation.
794-803
- Xufei Wang, Jiliang Tang, Huan Liu:
Document Clustering via Matrix Representation.
804-813
- Zhenxing Wang, Laiwan Chan:
Using Bayesian Network Learning Algorithm to Discover Causal Relations in Multivariate Time Series.
814-823
- Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu, Vincent S. Tseng:
Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets.
824-833
- Rongjing Xiang, Jennifer Neville:
Understanding Propagation Error and Its Effect on Collective Classification.
834-843
- Liang Xiong, Xi Chen, Jeff G. Schneider:
Direct Robust Matrix Factorizatoin for Anomaly Detection.
844-853
- Tengke Xiong, Shengrui Wang, Qingshan Jiang, Joshua Zhexue Huang:
A New Markov Model for Clustering Categorical Sequences.
854-863
- Xiaoran Xu, Zhi-Hong Deng:
BibClus: A Clustering Algorithm of Bibliographic Networks by Message Passing on Center Linkage Structure.
864-873
- Ye Xu, Wei Ping, Andrew T. Campbell:
Multi-instance Metric Learning.
874-883
- Zhao Xu, Kristian Kersting:
Multi-task Learning with Task Relations.
884-893
- Bin Yang, Issei Sato, Hiroshi Nakagawa:
Secure Clustering in Private Networks.
894-903
- Zhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang Zhai, Thomas S. Huang:
LPTA: A Probabilistic Model for Latent Periodic Topic Analysis.
904-913
- Kui Yu, Xindong Wu, Wei Ding, Hao Wang, Hongliang Yao:
Causal Associative Classification.
914-923
- Chao Yuan:
Multi-task Learning for Bayesian Matrix Factorization.
924-931
- Peng Zhang, Byron J. Gao, Xingquan Zhu, Li Guo:
Enabling Fast Lazy Learning for Data Streams.
932-941
- Xianchao Zhang, Quanzeng You:
Clusterability Analysis and Incremental Sampling for Nyström Extension Based Spectral Clustering.
942-951
- Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu:
Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut.
952-961
- Yuchen Zhao, Xiangnan Kong, Philip S. Yu:
Positive and Unlabeled Learning for Graph Classification.
962-971
- Yuhai Zhao, Guoren Wang, Yuan Li, Zhanghui Wang:
Finding Novel Diagnostic Gene Patterns Based on Interesting Non-redundant Contrast Sequence Rules.
972-981
- Li Zheng, Tao Li:
Semi-supervised Hierarchical Clustering.
982-991
- Indre Zliobaite, Faisal Kamiran, Toon Calders:
Handling Conditional Discrimination.
992-1001
Short Papers
- Charu C. Aggarwal, Yao Li, Philip S. Yu:
On the Hardness of Graph Anonymization.
1002-1007
- Hong Cao, Xiaoli Li, Yew-Kwong Woon, See-Kiong Ng:
SPO: Structure Preserving Oversampling for Imbalanced Time Series Classification.
1008-1013
- Miguel Á. Carreira-Perpiñán, Zhengdong Lu:
Manifold Learning and Missing Data Recovery through Unsupervised Regression.
1014-1019
- Danqi Chen, Weizhu Chen, Qiang Yang:
Characterizing Inverse Time Dependency in Multi-class Learning.
1020-1025
- Pan Du, Jiafeng Guo, Xueqi Cheng:
Supervised Lazy Random Walk for Topic-Focused Multi-document Summarization.
1026-1031
- Wentao Fan, Nizar Bouguila, Djemel Ziou:
Unsupervised Anomaly Intrusion Detection via Localized Bayesian Feature Selection.
1032-1037
- Qiong Fang, Jianlin Feng, Wilfred Ng:
Identifying Differentially Expressed Genes via Weighted Rank Aggregation.
1038-1043
- Chuancong Gao, Jianyong Wang, Qingyan Yang:
Efficient Mining of Closed Sequential Patterns on Stream Sliding Window.
1044-1049
- Jing Gao, Wei Fan, Deepak S. Turaga, Srinivasan Parthasarathy, Jiawei Han:
A Spectral Framework for Detecting Inconsistency across Multi-source Object Relationships.
1050-1055
- Zekai Gao, Yangqiu Song, Shixia Liu, Haixun Wang, Hao Wei, Yang Chen, Weiwei Cui:
Tracking and Connecting Topics via Incremental Hierarchical Dirichlet Processes.
1056-1061
- Wei Guan, Arkadas Ozakin, Alexander G. Gray, Jose Borreguero, Shashi Bhushan Pandit, Anna Jagielska, Liliana Wroblewska, Jeffrey Skolnick:
Learning Protein Folding Energy Functions.
1062-1067
- Dan He, Xingquan Zhu, D. Stott Parker:
How Does Research Evolve? Pattern Mining for Research Meme Cycles.
1068-1073
- Jianjun He, Hong Gu, Shaorui Jiang:
Twin Gaussian Processes for Binary Classification.
1074-1079
- Mohammed Hindawi, Kais Allab, Khalid Benabdeslem:
Constraint Selection-Based Semi-supervised Feature Selection.
1080-1085
- Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh:
Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL.
1086-1091
- Zhen Hu, Raj Bhatnagar:
Discovery of Versatile Temporal Subspace Patterns in 3-D Datasets.
1092-1097
- Jens Humrich, Thomas Gärtner, Gemma C. Garriga:
A Fixed Parameter Tractable Integer Program for Finding the Maximum Order Preserving Submatrix.
1098-1103
- Yexi Jiang, Chang-Shing Perng, Tao Li, Rong N. Chang:
ASAP: A Self-Adaptive Prediction System for Instant Cloud Resource Demand Provisioning.
1104-1109
- Prateek Jindal, Dan Roth:
Learning from Negative Examples in Set-Expansion.
1110-1115
- Edward Casey Kenley, Young-Rae Cho:
Entropy-Based Graph Clustering: Application to Biological and Social Networks.
1116-1121
- Saehoon Kim, Seungjin Choi:
Semi-supervised Discriminant Hashing.
1122-1127
- Petr Krajca, Jan Outrata, Vilém Vychodil:
Using Frequent Closed Itemsets for Data Dimensionality Reduction.
1128-1133
- Taeho Kwon, Zhendong Su:
Modeling High-Level Behavior Patterns for Precise Similarity Analysis of Software.
1134-1139
- Lazhar Labiod, Mohamed Nadif:
Co-clustering for Binary and Categorical Data with Maximum Modularity.
1140-1145
- Chang-Hwan Lee, Fernando Gutierrez, Dejing Dou:
Calculating Feature Weights in Naive Bayes with Kullback-Leibler Measure.
1146-1151
- Rong-Hua Li, Jeffrey Xu Yu:
Scalable Diversified Ranking on Large Graphs.
1152-1157
- Bing Li, Weihua Xiong, Weiming Hu:
Web Horror Image Recognition Based on Context-Aware Multi-instance Learning.
1158-1163
- Xiaoxu Li, Junyu Zeng, Xiaojie Wang, Yixin Zhong:
Mixture of Softmax sLDA.
1164-1169
- Qi Mao, Ivor Wai-Hung Tsang:
Optimizing Performance Measures for Feature Selection.
1170-1175
- Mohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani M. Thuraisingham:
Detecting Recurring and Novel Classes in Concept-Drifting Data Streams.
1176-1181
- Xiang Niu, Lusong Li, Xiaobing Xiong, Daniel S. Tkach, He Li, Ke Xu:
Performances and Characteristics of DIGRank, Ranking in the Incomplete Networks.
1182-1187
- Satoshi Oyama, Kohei Hayashi, Hisashi Kashima:
Cross-Temporal Link Prediction.
1188-1193
- Huan-Kai Peng, Pang Wu, Jiang Zhu, Joy Ying Zhang:
Helix: Unsupervised Grammar Induction for Structured Activity Recognition.
1194-1199
- Ning Ruan, Ruoming Jin, Yan Huang:
Distance Preserving Graph Simplification.
1200-1205
- Jana Schmidt, Elisabeth Maria Brändle, Stefan Kramer:
Clustering with Attribute-Level Constraints.
1206-1211
- Mahito Sugiyama, Akihiro Yamamoto:
A Fast and Flexible Clustering Algorithm Using Binary Discretization.
1212-1217
- Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li:
A New Multi-task Learning Method for Personalized Activity Recognition.
1218-1223
- Chih-Hua Tai, Peng-Jui Tseng, Philip S. Yu, Ming-Syan Chen:
Identities Anonymization in Dynamic Social Networks.
1224-1229
- Toshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi:
Discovering Emerging Topics in Social Streams via Link Anomaly Detection.
1230-1235
- Chayant Tantipathananandh, Tanya Y. Berger-Wolf:
Finding Communities in Dynamic Social Networks.
1236-1241
- Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu:
Review Graph Based Online Store Review Spammer Detection.
1242-1247
- Jiabing Wang, Pei Zhang, Guihua Wen, Jia Wei:
Classifying Categorical Data by Rule-Based Neighbors.
1248-1253
- Miao Zhang, Chris H. Q. Ding, Zhifang Liao:
Tensor Fold-in Algorithms for Social Tagging Prediction.
1254-1259
- Gangqiang Zhao, Junsong Yuan:
Discovering Thematic Patterns in Videos via Cohesive Sub-graph Mining.
1260-1265
- Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu:
Low Rank Metric Learning with Manifold Regularization.
1266-1271
- Lei Zhu, Qinbao Song:
A Study of Laplacian Spectra of Graph for Subgraph Queries.
1272-1277
- Yan Zhu, Liping Jing, Jian Yu:
Text Clustering via Constrained Nonnegative Matrix Factorization.
1278-1283
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