2. ICDM 2002: Maebashi City, Japan

@proceedings{DBLP:conf/icdm/2002,
  title     = {Proceedings of the 2002 IEEE International Conference on Data
               Mining (ICDM 2002), 9-12 December 2002, Maebashi City, Japan},
  publisher = {IEEE Computer Society},
  year      = {2002},
  isbn      = {0-7695-1754-4},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Main-Track Regular Papers

• Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté:
  Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing. 3-10
  
• Tamas Abraham, Olivier Y. de Vel:
  Investigative Profiling with Computer Forensic Log Data and Association Rules. 11-18
  
• Maria-Luiza Antonie, Osmar R. Zaïane:
  Text Document Categorization by Term Association. 19-26
  
• Tatsuya Asai, Hiroki Arimura, Kenji Abe, Shinji Kawasoe, Setsuo Arikawa:
  Online Algorithms for Mining Semi-structured Data Stream. 27-34
  
• Elena Baralis, Paolo Garza:
  A Lazy Approach to Pruning Classification Rules. 35-42
  
• Christian Böhm, Florian Krebs:
  High Performance Data Mining Using the Nearest Neighbor Join. 43-50
  
• Christian Borgelt, Michael R. Berthold:
  Mining Molecular Fragments: Finding Relevant Substructures of Molecules. 51-58
  
• Cheng-Yue Chang, Ming-Syan Chen, Chang-Hung Lee:
  Mining General Temporal Association Rules for Items with Different Exhibition Periods. 59-66
  
• Yisong Chen, Guoping Wang, Shihai Dong:
  Learning with Progressive Transductive Support Vector Machine. 67-74
  
• Shui-Lung Chuang, Lee-Feng Chien:
  Towards Automatic Generation of Query Taxonomy: A Hierarchical Query Clustering Approach. 75-82
  
• Korris Fu-Lai Chung, Tak-Chung Fu, Robert W. P. Luk, Vincent T. Y. Ng:
  Evolutionary Time Series Segmentation for Stock Data Mining. 83-90
  
• Denis Clot:
  Using functional PCA for cardiac motion exploration. 91-98
  
• Paul R. Cohen, Brent Heeringa, Niall M. Adams:
  Unsupervised Segmentation of Categorical Time Series into Episodes. 99-106
  
• Gao Cong, Bing Liu:
  Speed-up Iterative Frequent Itemset Mining with Constraint Changes. 107-114
  
• Manoranjan Dash, Kiseok Choi, Peter Scheuermann, Huan Liu:
  Feature Selection for Clustering - A Filter Solution. 115-122
  
• Luc De Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila:
  A Theory of Inductive Query Answering. 123-130
  
• Inderjit S. Dhillon, Yuqiang Guan, J. Kogan:
  Iterative Clustering of High Dimensional Text Data Augmented by Local Search. 131-138
  
• Chris H. Q. Ding, Xiaofeng He:
  Cluster merging and splitting in hierarchical clustering algorithms. 139-146
  
• Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon:
  Adaptive dimension reduction for clustering high dimensional data. 147-154
  
• Ivo Düntsch, Günther Gediga:
  Modal-style operators in qualitative data analysis. 155-162
  
• Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo, Salvatore J. Stolfo:
  Progressive Modeling. 163-170
  
• John A. Flanagan, Jani Mäntyjärvi, Johan Himberg:
  Unsupervised Clustering of Symbol Strings and Context Recognition. 171-178
  
• Andrew Foss, Osmar R. Zaïane:
  A Parameterless Method for Efficiently Discovering Clusters of Arbitrary Shape in Large Datasets. 179-186
  
• Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu:
  Discriminative Category Matching: Efficient Text Classification for Huge Document Collections. 187-194
  
• Rayid Ghani, Andrew E. Fano:
  Using Text Mining to Infer Semantic Attributes for Retail Data Mining. 195-202
  
• Khaled M. Hammouda, Mohamed S. Kamel:
  Phrase-based Document Similarity Based on an Index Graph Model. 203-210
  
• Jiawei Han, Jianyong Wang, Ying Lu, Petre Tzvetkov:
  Mining Top-K Frequent Closed Patterns without Minimum Support. 211-218
  
• Shoji Hirano, Shusaku Tsumoto:
  Mining Similar Temporal Patterns in Long Time-Series Data and Its Application to Medicine. 219-226
  
• Yin-Fu Huang, Chieh-Ming Wu:
  Mining Generalized Association Rules Using Pruning Techniques. 227-234
  
• Sung Young Jung, Jeong-Hee Hong, Taek-Soo Kim:
  A Formal Model for User Preference. 235-242
  
• Yongdai Kim:
  Convex Hull Ensemble Machine. 243-249
  
• Milos Kovacevic, Michelangelo Diligenti, Marco Gori, Veljko M. Milutinovic:
  Recognition of Common Areas in a Web Page Using Visual Information: a possible application in a page classification. 250-257
  
• Michihiro Kuramochi, George Karypis:
  Discovering Frequent Geometric Subgraphs. 258-265
  
• Nada Lavrac, Peter A. Flach, Branko Kavsek, Ljupco Todorovski:
  Adapting classification rule induction to subgroup discovery. 266-273
  
• Gang Li, Honghua Dai, Yiqing Tu:
  Linear Causal Model Discovery Using the MML criterion. 274-281
  
• Tsau Young Lin:
  Attribute (Feature) Completion - The Theory of Attributes from Data Mining Prospect. 282-289
  
• Boriana L. Milenova, Marcos M. Campos:
  O-Cluster: Scalable Clustering of Large High Dimensional Data Sets. 290-297
  
• Ankush Mittal, Loong Fah Cheong:
  Employing Discrete Bayes Error rate for discretization and feature selection. 298-305
  
• Luis Carlos Molina, Lluís Belanche, Àngela Nebot:
  Feature Selection Algorithms: A Survey and Experimental Evaluation. 306-313
  
• Fabrice Muhlenbach, Ricco Rakotomalala:
  Multivariate supervised discretization, a neighborhood graph approach. 314-321
  
• Eric Ka Ka Ng, Ada Wai-Chee Fu, Ke Wang:
  Mining Association Rules from Stars. 322-329
  
• Tim Oates:
  PERUSE: An Unsupervised Algorithm for Finding Recurrig Patterns in Time Series. 330-337
  
• Salvatore Orlando, Paolo Palmerini, Raffaele Perego, Fabrizio Silvestri:
  Adaptive and Resource-Aware Mining of Frequent Sets. 338-345
  
• Laurence A. F. Park, Marimuthu Palaniswami, Kotagiri Ramamohanarao:
  A new implementation technique for fast Spectral based document retrieval systems. 346-353
  
• Srinivasan Parthasarathy:
  Efficient Progressive Sampling for Association Rules. 354-361
  
• Srinivasan Parthasarathy, Matt Coatney:
  Efficient Discovery of Common Substructures in Macromolecules. 362-369
  
• Pranav Patel, Eamonn J. Keogh, Jessica Lin, Stefano Lonardi:
  Mining Motifs in Massive Time Series Databases. 370-377
  
• Jian Pei, Guozhu Dong, Wei Zou, Jiawei Han:
  On Computing Condensed Frequent Pattern Bases. 378-385
  
• Xiaogang Peng, Ben Choi:
  Automatic Web Page Classification in a Dynamic and Hierarchical Way. 386-393
  
• Chang-Shing Perng, Haixun Wang, Sheng Ma, Joseph L. Hellerstein:
  User-directed Exploration of Mining Space with Multiple Attributes. 394-401
  
• Prabhakar Raghavan, Panayiotis Tsaparas:
  Mining Significant Associations in Large Scale Text Corpora. 402-409
  
• Ken Sadohara:
  On a Capacity Control Using Boolean Kernels for the Learning of Boolean Functions. 410-417
  
• Masakazu Seno, George Karypis:
  SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint. 418-425
  
• Yi-Dong Shen, Zhong Zhang, Qiang Yang:
  Objective-Oriented Utility-Based Association Mining. 426-433
  
• Wing-Ho Shum, Huidong Jin, Kwong-Sak Leung, Man Leung Wong:
  A Self-Organizing Map with Expanding Force for Data Clustering and Visualization. 434-441
  
• Wei-Guang Teng, Ming-Jyh Hsieh, Ming-Syan Chen:
  On the Mining of Substitution Rules for Statistically Dependent Items. 442-449
  
• Alexandre Termier, Marie-Christine Rousset, Michèle Sebag:
  TreeFinder: a First Step towards XML Data Mining. 450-457
  
• Natalia Vanetik, Ehud Gudes, Solomon Eyal Shimony:
  Computing Frequent Graph Patterns from Semistructured Data. 458-465
  
• Kari Vasko, Hannu Toivonen:
  Estimating the number of segments in time series data using permutation tests. 466-473
  
• Ricardo Vilalta, Sheng Ma:
  Predicting Rare Events In Temporal Domains. 474-481
  
• Haixun Wang, Chang-Shing Perng, Sheng Ma, Philip S. Yu:
  Mining Associations by Pattern Structure in Large Relational Tables. 482-489
  
• Zhihai Wang, Geoffrey I. Webb:
  Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning. 490-497
  
• Man Leung Wong, Shing Yan Lee, Kwong-Sak Leung:
  A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming. 498-505
  
• Tak-Lam Wong, Wai Lam:
  Adapting Information Extraction Knowledge For Unseen Web Sites. 506-513
  
• Yabo Xu, Jeffrey Xu Yu, Guimei Liu, Hongjun Lu:
  From Path Tree To Frequent Patterns: A Framework for Mining Frequent Patterns. 514-521
  
• Qiang Yang, Hong Cheng:
  Mining Case Bases for Action Recommendation. 522-529
  
• Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio:
  Adaptive Ripple Down Rules Method based on Minimum Description Length Principle. 530-537
  
• Hwanjo Yu, Kevin Chen-Chuan Chang, Jiawei Han:
  Heterogeneous Learner for Web Page Classification. 538-545
  
• Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen:
  Using Category-Based Adherence to Cluster Market-Basket Data. 546-553
  
• Minghua Zhang, Ben Kao, Chi Lap Yip:
  A Comparison Study on Algorithms for Incremental Update of Frequent Sequences. 554-561
  
• Zhiqiang Zheng, Balaji Padmanabhan:
  On Active Learning for Data Acquisition. 562-569
  
• Qinghua Zou, Wesley W. Chu, Baojing Lu:
  SmartMiner: A Depth First Algorithm Guided by Tail Information for Mining Maximal Frequent Itemsets. 570-
  

Main-Track Short Papers

• Michael R. Berthold, Bernd Wiswedel, David E. Patterson:
  Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods. 581-584
  
• R. Chen, Krishnamoorthy Sivakumar:
  A New Algorithm for Learning Parameters of a Bayesian Network from Distributed Data. 585-588
  
• Emilio Corchado, Colin Fyfe:
  Optimal Projections of High Dimensional Data. 589-596
  
• Laurentiu Cristofor, Dan A. Simovici:
  Generating an informative cover for association rules. 597-600
  
• Hasan Davulcu, Saikat Mukherjee, I. V. Ramakrishnan:
  Extraction Techniques for Mining Services from Web Sources. 601-604
  
• Raquel Flórez López:
  Reviewing RELIEF and its Extensions: A new Approach for Estimating Attributes considering high-correlated Features. 605-608
  
• Liqiang Geng, Howard J. Hamilton:
  ESRS: A Case Selection Algorithm Using Extended Similarity-based Rough Sets. 609-612
  
• Robert L. Grossman, Richard G. Larson:
  An Algebraic Approach to Data Mining: Some Examples. 613-616
  
• Stephen Hodgson, Neil Dunstan, R. Murison:
  Wavelet Based UXO Detection. 617-620
  
• Se June Hong, Jonathan R. M. Hosking, Ramesh Natarajan:
  Ensemble Modeling Through Multiplicative Adjustment of Class Probability. 621-624
  
• Yuh-Jyh Hu:
  Mining A Set of Coregulated RNA Sequences. 625-628
  
• Hao Huang, Xindong Wu, Richard Relue:
  Association Analysis with One Scan of Databases. 629-632
  
• Hasan M. Jamil:
  Implementation of a Least Fixpoint Operator for Fast Mining of Relational Databases. 633-636
  
• Ning Jiang, Kien A. Hua, Simon Sheu:
  Considering Both Intra-Pattern and Inter-Pattern Anomalies for Intrusion Detection. 637-640
  
• Mahesh V. Joshi:
  On Evaluating Performance of Classifiers for Rare Classes. 641-644
  
• Toshihiro Kamishima, Shotaro Akaho:
  Learning from Order Examples. 645-648
  
• Fang-Fei Kuo, Man-Kwan Shan:
  A Personalized Music Filtering System Based on Melody Style Classification. 649-652
  
• Jinyan Li, Limsoon Wong:
  Solving the Fragmentation Problem of Decision Trees by Discovering Boundary Emerging Patterns. 653-656
  
• Qi Li, Tao Li, Shenghuo Zhu, Chandra Kambhamettu:
  Improving Medical/Biological Data Classification Performance by Wavelet Preprocessing. 657-660
  
• Sheng Ma, Joseph L. Hellerstein, Chang-Shing Perng, Genady Grabarnik:
  Progressive and Interactive Analysis of Event Data Using Event Miner. 661-664
  
• Rosa Meo, Giuseppe Psaila:
  Toward XML-Based Knowledge Discovery Systems. 665-668
  
• Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa:
  Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks. 669-672
  
• Jürgen Paetz:
  Intersection Based Generalization Rules for the Analysis of Symbolic Septic Shock Patient Data. 673-676
  
• Sigal Sahar:
  Exploring Interestingness Through Clustering: A Framework. 677-680
  
• Sigal Sahar:
  On Incorporating Subjective Interestingness Into the Mining Process. 681-684
  
• Alexander K. Seewald:
  Exploring the Parameter State Space of Stacking. 685-688
  
• Philip W. Tse, Jiming Liu:
  Mining Associated Implication Networks: Computational Intermarket Analysis. 689-692
  
• Ching-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
  Maintenance of Sequential Patterns for Record Modification Using Pre-large Sequences. 693-696
  
• Jun Wang, Bei Yu, Les Gasser:
  Concept Tree Based Clustering Visualization with Shaded Similarity Matrices. 697-700
  
• Xiong Wang:
  Delta B+ Tree: Indexing 3D Point Sets for Pattern Discovery. 701-704
  
• Dwi H. Widyantoro, Thomas R. Ioerger, John Yen:
  An Incremental Approach to Building a Cluster Hierarchy. 705-708
  
• Graham J. Williams, Rohan A. Baxter, Hongxing He, Simon Hawkins, Lifang Gu:
  A Comparative Study of RNN for Outlier Detection in Data Mining. 709-712
  
• Huiwen Wu, Dimitrios Gunopulos:
  Evaluating the Utility of Statistical Phrases and Latent Semantic Indexing for Text Classification. 713-716
  
• Yimin Xiong, Dit-Yan Yeung:
  Mixtures of ARMA Models for Model-Based Time Series Clustering. 717-720
  
• Xifeng Yan, Jiawei Han:
  gSpan: Graph-Based Substructure Pattern Mining. 721-724
  
• Jiong Yang, Wei Wang, Philip S. Yu:
  InfoMiner+: Mining Partial Periodic Patterns with Gap Penalties. 725-728
  
• Hong Yao, Howard J. Hamilton, Cory J. Butz:
  FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences. 729-732
  
• Michael M. Yin, Jason Tsong-Li Wang:
  Mining Genes in DNA Using GeneScout. 733-736
  
• Osmar R. Zaïane, Chi-Hoon Lee:
  Clustering Spatial Data when Facing Physical Constraints. 737-740
  
• Zhongfei Zhang:
  Mining Surveillance Video for Independent Motion Detection. 741-744
  
• Bing Zhao, Stephan Vogel:
  Adaptive Parallel Sentences Mining from Web Bilingual News Collection. 745-
  

Industry-Track Papers

• Stefano Cazzella, Luigi Dragone, Stefano Trisolini:
  Telecommunications Strategic Marketing - KDD and Economic Modeling. 751-754
  
• Ayhan Demiriz:
  webSPADE: A Parallel Sequence Mining Algorithm to Analyze Web Log Data. 755-758
  
• Simon Fong, Serena Chan:
  Mining Online Users? Access Records for Web Business Intelligence. 759-762
  
• Xiangji Huang, Aijun An, Nick Cercone, Gary Promhouse:
  Discovery of Interesting Association Rules from Livelink Web Log Data. 763-766
  
• Charles X. Ling, Tielin Chen, Qiang Yang, Jie Cheng:
  Mining Optimal Actions for Profitable CRM. 767-770
  
• Teresa Mah, Ying Li:
  Visually Mining Web User Clickpaths. 771-774
  
• James E. Pearce, Geoffrey I. Webb, Robin N. Shaw, Brian Garner:
  Experimentation and Self Learning in Continuous Database Marketing. 775-778
  
• Mariko Yohda, Makiko Saito-Arita, Akira Okada, Ryota Suzuki, Yoshitsugu Kakemoto:
  Demand Forecasting by the Neural Network with Discrete Fourier Transform. 779-