7. ICDM 2007:
Omaha,
Nebraska,
USA
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), October 28-31, 2007, Omaha, Nebraska, USA.
IEEE Computer Society 2007 BibTeX
Regular Papers
- Sumeet Agarwal, Shantanu Godbole, Diwakar Punjani, Shourya Roy:
How Much Noise Is Too Much: A Study in Automatic Text Classification.
3-12
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- Shin Ando:
Clustering Needles in a Haystack: An Information Theoretic Analysis of Minority and Outlier Detection.
13-22
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- Benjamin Arai, Song Lin, Dimitrios Gunopulos:
Efficient Data Sampling in Heterogeneous Peer-to-Peer Networks.
23-32
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- Brett W. Bader, Richard A. Harshman, Tamara G. Kolda:
Temporal Analysis of Semantic Graphs Using ASALSAN.
33-42
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- Robert M. Bell, Yehuda Koren:
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights.
43-52
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- Axel Blumenstock, Franz Schweiggert, Markus Müller:
Rule Cubes for Causal Investigations.
53-62
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- Björn Bringmann, Albrecht Zimmermann:
The Chosen Few: On Identifying Valuable Patterns.
63-72
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- Deng Cai, Xiaofei He, Jiawei Han:
Spectral Regression: A Unified Approach for Sparse Subspace Learning.
73-82
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- Toon Calders, Nele Dexters, Bart Goethals:
Mining Frequent Itemsets in a Stream.
83-92
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- Shing-Kit Chan, Wai Lam, Xiaofeng Yu:
A Cascaded Approach to Biomedical Named Entity Recognition Using a Unified Model.
93-102
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- Yanhua Chen, Manjeet Rege, Ming Dong, Jing Hua:
Incorporating User Provided Constraints into Document Clustering.
103-112
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- Yixin Chen, Henry L. Bart Jr., Xin Dang, Hanxiang Peng:
Depth-Based Novelty Detection and Its Application to Taxonomic Research.
113-122
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- David A. Cieslak, Nitesh V. Chawla:
Detecting Fractures in Classifier Performance.
123-132
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- Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy:
Non-redundant Multi-view Clustering via Orthogonalization.
133-142
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- Jing Gao, Wei Fan, Jiawei Han:
On Appropriate Assumptions to Mine Data Streams: Analysis and Practice.
143-152
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- Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Jérémy Besson, Mohammed Javeed Zaki:
ORIGAMI: Mining Representative Orthogonal Graph Patterns.
153-162
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- Huahai He, Ambuj K. Singh:
Efficient Algorithms for Mining Significant Substructures in Graphs with Quality Guarantees.
163-172
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- Tianyi Jiang, Alexander Tuzhilin:
Dynamic Micro Targeting: Fitness-Based Approach to Predicting Individual Preferences.
173-182
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- Ruoming Jin, Yuri Breitbart, Chibuike Muoh:
Data Discretization Unification.
183-192
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- Wei Jin, Rohini K. Srihari, Hung Hay Ho, Xin Wu:
Improving Knowledge Discovery in Document Collections through Combining Text Retrieval and Link Analysis Techniques.
193-202
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- Vasileios Kandylas, S. Phineas Upham, Lyle H. Ungar:
Finding Cohesive Clusters for Analyzing Knowledge Communities.
203-212
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- Rong Liu, Yong Shi:
Succinct Matrix Approximation and Efficient k-NN Classification.
213-222
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- Xiaoming Liu, Zhaohui Wang, Zhilin Feng, Jinshan Tang:
A Pairwise Covariance-Preserving Projection Method for Dimension Reduction.
223-231
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- Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip S. Yu:
Community Learning by Graph Approximation.
232-241
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- Claudio Lucchese, Salvatore Orlando, Raffaele Perego:
Parallel Mining of Frequent Closed Patterns: Harnessing Modern Computer Architectures.
242-251
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- David R. Musicant, Janara M. Christensen, Jamie F. Olson:
Supervised Learning by Training on Aggregate Outputs.
252-261
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- Feng Pan, Adam Roberts, Leonard McMillan, David Threadgill, Wei Wang:
Sample Selection for Maximal Diversity.
262-271
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- Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan:
Mining Statistical Information of Frequent Fault-Tolerant Patterns in Transactional Databases.
272-281
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- Daniele Quercia, Stephen Hailes, Licia Capra:
Lightweight Distributed Trust Propagation.
282-291
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- Jie Tang, Duo Zhang, Limin Yao:
Social Network Extraction of Academic Researchers.
292-301
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- Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Maybank:
General Averaged Divergence Analysis.
302-311
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- Nikolaj Tatti:
Maximum Entropy Based Significance of Itemsets.
312-321
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- Chao Wang, Venu Satuluri, Srinivasan Parthasarathy:
Local Probabilistic Models for Link Prediction.
322-331
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- Pu Wang, Jian Hu, Hua-Jun Zeng, Lijun Chen, Zheng Chen:
Improving Text Classification by Using Encyclopedia Knowledge.
332-341
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- Richard C. Wang, William W. Cohen:
Language-Independent Set Expansion of Named Entities Using the Web.
342-350
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- Xiaozhe Wang, Anthony Wirth, Liang Wang:
Structure-Based Statistical Features and Multivariate Time Series Clustering.
351-360
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- Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou:
A Generalization of Proximity Functions for K-Means.
361-370
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- Liang Xiong, Fei Wang, Changshui Zhang:
Multilevel Belief Propagation for Fast Inference on Markov Random Fields.
371-380
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- Dragomir Yankov, Eamonn J. Keogh, Umaa Rebbapragada:
Disk Aware Discord Discovery: Finding Unusual Time Series in Terabyte Sized Datasets.
381-390
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- Zhongyuan Zhang, Tao Li, Chris Ding, Xiangsun Zhang:
Binary Matrix Factorization with Applications.
391-400
Electronic Edition (link) BibTeX
Short Papers
- Sujeevan Aseervatham, Emmanuel Viennet, Younès Bennani:
A Semantic Kernel for Semi-structured DocumentS.
403-408
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- Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl:
DUSC: Dimensionality Unbiased Subspace Clustering.
409-414
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- Suhrid Balakrishnan, David Madigan:
Finding Predictive Runs with LAPS.
415-420
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- Arindam Banerjee, Hanhuai Shan:
Latent Dirichlet Conditional Naive-Bayes Models.
421-426
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- Deng Cai, Xiaofei He, Jiawei Han:
Efficient Kernel Discriminant Analysis via Spectral Regression.
427-432
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- Mete Celik, James M. Kang, Shashi Shekhar:
Zonal Co-location Pattern Discovery with Dynamic Parameters.
433-438
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- Bi Chen, Qiankun Zhao, Bingjun Sun, Prasenjit Mitra:
Predicting Blogging Behavior Using Temporal and Social Networks.
439-444
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- Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han:
gApprox: Mining Frequent Approximate Patterns from a Massive Network.
445-450
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- Weizhu Chen, Jun Yan, Benyu Zhang, Zheng Chen, Qiang Yang:
Document Transformation for Multi-label Feature Selection in Text Categorization.
451-456
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- Haibin Cheng, Pang-Ning Tan, Jon Sticklen, William F. Punch:
Recommendation via Query Centered Random Walk on K-Partite Graph.
457-462
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- Kun Deng, Chris Bourke, Stephen D. Scott, Julie Sunderman, Yaling Zheng:
Bandit-Based Algorithms for Budgeted Learning.
463-468
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- Ronen Feldman, Moshe Fresko, Jacob Goldenberg, Oded Netzer, Lyle H. Ungar:
Extracting Product Comparisons from Discussion Boards.
469-474
Electronic Edition (link) BibTeX
- Xiaoli Z. Fern, Chaitanya Komireddy, Margaret M. Burnett:
Mining Interpretable Human Strategies: A Case Study.
475-480
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- Gemma C. Garriga, Hannes Heikinheimo, Jouni K. Seppänen:
Cross-Mining Binary and Numerical Attributes.
481-486
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- Karam Gouda, Mosab Hassaan, Mohammed Javeed Zaki:
Prism: A Primal-Encoding Approach for Frequent Sequence Mining.
487-492
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- Qi He, Kuiyu Chang, Ee-Peng Lim:
Using Burstiness to Improve Clustering of Topics in News Streams.
493-498
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- Alexander Hinneburg, Hans-Henning Gabriel, Andrè Gohr:
Bayesian Folding-In with Dirichlet Kernels for PLSI.
499-504
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- Shen-Shyang Ho, Roman A. Polyak:
Confident Identification of Relevant Objects Based on Nonlinear Rescaling Method and Transductive Inference.
505-510
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- Han-Shen Huang, Yu-Ming Chang, Chun-Nan Hsu:
Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text Mining.
511-516
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- Ruizhang Huang, Wai Lam:
Semi-supervised Document Clustering via Active Learning with Pairwise Constraints.
517-522
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- Tsuyoshi Idé, Spiros Papadimitriou, Michail Vlachos:
Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors.
523-528
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- Frederik Janssen, Johannes Fürnkranz:
On Meta-Learning Rule Learning Heuristics.
529-534
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- Ming Jia, Shaozhi Ye, Xing Li, Julie A. Dickerson:
Web Site Recommendation Using HTTP Traffic.
535-540
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- Ruoming Jin, Scott McCallen, Eivind Almaas:
Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks.
541-546
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- Nitin Jindal, Bing Liu:
Analyzing and Detecting Review Spam.
547-552
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- David M. Kaplan, David M. Blei:
A Computational Approach to Style in American Poetry.
553-558
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- Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida:
Change-Point Detection in Time-Series Data Based on Subspace Identification.
559-564
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- Longin Jan Latecki, Qiang Wang, Suzan Koknar-Tezel, Vasileios Megalooikonomou:
Optimal Subsequence Bijection.
565-570
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- Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ramarathnam Venkatesan:
Connections between Mining Frequent Itemsets and Learning Generative Models.
571-576
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- Tao Li, Chris Ding, Michael I. Jordan:
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization.
577-582
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- Yinglung Liang, Yanyong Zhang, Hui Xiong, Ramendra K. Sahoo:
Failure Prediction in IBM BlueGene/L Event Logs.
583-588
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- Masoud Makrehchi, Mohamed S. Kamel:
A Text Classification Framework with a Local Feature Ranking for Learning Social Networks.
589-594
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- Hassan H. Malik, John R. Kender:
Optimizing Frequency Queries for Data Mining Applications.
595-600
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- David Minnen, Charles L. Isbell, Irfan A. Essa, Thad Starner:
Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern Discovery.
601-606
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- Nam Nguyen, Rich Caruana:
Consensus Clusterings.
607-612
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- Biswanath Panda, Mirek Riedewald, Johannes Gehrke, Stephen B. Pope:
High-Speed Function Approximation.
613-618
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- Jing Peng, Stefan A. Robila:
Weighted Additive Criterion for Linear Dimension Reduction.
619-624
Electronic Edition (link) BibTeX
- Wen Pu, Ning Liu, Shuicheng Yan, Jun Yan, Kunqing Xie, Zheng Chen:
Local Word Bag Model for Text Categorization.
625-630
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- Chedy Raïssi, Pascal Poncelet:
Sampling for Sequential Pattern Mining: From Static Databases to Data Streams.
631-636
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- Calum Robertson, Shlomo Geva, Rodney C. Wolff:
Can the Content of Public News Be Used to Forecast Abnormal Stock Market Behaviour?
637-642
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- Jianhua Ruan, Weixiong Zhang:
An Efficient Spectral Algorithm for Network Community Discovery and Its Applications to Biological and Social Networks.
643-648
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- Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfahanian:
Exploration of Link Structure and Community-Based Node Roles in Network Analysis.
649-654
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- Pannagadatta K. Shivaswamy, Wei Chu, Martin Jansche:
A Support Vector Approach to Censored Targets.
655-660
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- Muhammad Subianto, Arno Siebes:
Understanding Discrete Classifiers with a Case Study in Gene Prediction.
661-666
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- Atsuhiro Takasu, Daiji Fukagawa, Tatsuya Akutsu:
Statistical Learning Algorithm for Tree Similarity.
667-672
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- Gert Van Dijck, Marc M. Van Hulle, Jo Van Vaerenbergh:
A Novel Criterion for Onset Detection: Differential Information Redundancy with Application to Human Movement Initiation.
673-678
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- Florian Verhein, Sanjay Chawla:
Using Significant, Positively Associated and Relatively Class Correlated Rules for Associative Classification of Imbalanced Datasets.
679-684
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- Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes:
Preserving Privacy through Data Generation.
685-690
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- Qian Wan, Aijun An:
Transitional Patterns and Their Significant Milestones.
691-696
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- Xuerui Wang, Andrew McCallum, Xing Wei:
Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval.
697-702
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- Pinata Winoto, Yiu-ming Cheung, Jiming Liu:
Mechanism Design for Clustering Aggregation by Selfish Systems.
703-708
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- Ho Jin Woo, Won Suk Lee:
estMax: Tracing Maximal Frequent Itemsets over Online Data Streams.
709-714
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- Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan:
Locally Constrained Support Vector Clustering.
715-720
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- Yang Yu, Zhi-Hua Zhou, Kai Ming Ting:
Cocktail Ensemble for Regression.
721-726
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- Qi Zhang, Jinze Liu, Wei Wang:
Incremental Subspace Clustering over Multiple Data Streams.
727-732
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- Yan Zhang, Xindong Wu:
Noise Modeling with Associative Corruption Rules.
733-738
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- Ding Zhou, Sergey A. Orshanskiy, Hongyuan Zha, C. Lee Giles:
Co-ranking Authors and Documents in a Heterogeneous Network.
739-744
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- Ding Zhou, Isaac G. Councill, Hongyuan Zha, C. Lee Giles:
Discovering Temporal Communities from Social Network Documents.
745-750
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- Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu:
Efficient Discovery of Frequent Approximate Sequential Patterns.
751-756
Electronic Edition (link) BibTeX
- Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi:
Active Learning from Data Streams.
757-762
Electronic Edition (link) BibTeX
- Xingquan Zhu:
Lazy Bagging for Classifying Imbalanced Data.
763-768
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:18:53 2009
by Michael Ley (ley@uni-trier.de)
