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2nd ICDM 2002: Maebashi City, Japan
- Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 9-12 December 2002, Maebashi City, Japan. IEEE Computer Society 2002, ISBN 0-7695-1754-4
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
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
A Theory of Inductive Query Answering. 123-130 - Inderjit S. Dhillon, Yuqiang Guan, Jacob 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
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
Adaptive and Resource-Aware Mining of Frequent Sets. 338-345 - Laurence Anthony F. Park, Marimuthu Palaniswami
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
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 (Eric) 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. 570-577
Main-Track Short Papers
- Michael R. Berthold, Bernd Wiswedel, David E. Patterson:
Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods. 581-584 - Rong 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
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. 745-748
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
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 J. 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. 779-782
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