Abstract is missing.
- Perspective on Data Mining from Statistical ViewpointsYoshiharu Sato. 1
- Inductive Databases and Knowledge ScoutsRyszard S. Michalski. 2-3
- Hyperlink-Aware Mining and Analysis of the WebAndrew Tomkins. 4
- Polynomial Time Matching Algorithms for Tree-Like Structured Patterns in Knowledge DiscoveryTetsuhiro Miyahara, Takayoshi Shoudai, Tomoyuki Uchida, Kenichi Takahashi, Hiroaki Ueda. 5-16
- Fast Discovery of Interesting RulesNobuhiro Yugami, Yuiko Ohta, Seishi Okamoto. 17-28
- Performance Controlled Data Reduction for Knowledge Discovery in Distributed DatabasesSlobodan Vucetic, Zoran Obradovic. 29-39
- Minimum Message Length Criterion for Second-Order Polynomial Model DisoveryGrace W. Rumantir. 40-48
- Frequent Itemset Counting Across Multiple TablesViviane Crestana-Jensen, Nandit Soparkar. 49-61
- Frequent Closures as a Concise Representation for Binary Data MiningJean-François Boulicaut, Artur Bykowski. 62-73
- An Optimization Problem in Data Cube System DesignEdward Hung, David Wai-Lok Cheung, Ben Kao, Yilong Liang. 74-85
- Exception Rule Mining with a Relative Interestingness MeasureFarhad Hussain, Huan Liu, Einoshin Suzuki, Hongjun Lu. 86-97
- Consistency Based Feature SelectionManoranjan Dash, Huan Liu, Hiroshi Motoda. 98-109
- Feature Selection for ClusteringManoranjan Dash, Huan Liu. 110-121
- A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series DatabasesEamonn J. Keogh, Michael J. Pazzani. 122-133
- Missing Value Estimation Based on Dynamic Attribute SelectionK. C. Lee, J. S. Park, Y. S. Kim, Yung-Tai Byun. 134-137
- On Association, Similarity and Dependency of AttributesYiyu Yao, Ning Zhong. 138-141
- Prototype Generation Based on Instance Filtering and AveragingChi-Kin Keung, Wai Lam. 142-152
- A Visual Method of Cluster Validation with FastmapZhexue Huang, Tao Lin. 153-164
- COE: Clustering with Obstacles Entities. A Preliminary StudyAnthony K. H. Tung, Jean Hou, Jiawei Han. 165-168
- Combining Sampling Technique with DBSCAN Algorithm for Clustering Large Spatial DatabasesShuigeng Zhou, Aoying Zhou, Jing Cao, Wen Jin, Ye Fan, Yunfa Hu. 169-172
- Predictive Adaptive Resonance Theory and Knowledge Discovery in DatabasesAh-Hwee Tan, Hui-Shin Vivien Soon. 173-176
- Improving Generalization Ability of Self-Generating Neural Networks Through Ensemble AveragingHirotaka Inoue, Hiroyuki Narihisa. 177-180
- Attribute Transformations on Numerical Databases. Applications to Stock Market and Economic DataTsau Young Lin, Joseph Tremba. 181-192
- Efficient Detection of Local Interactions in the Cascade ModelTakashi Okada. 193-203
- Extracting Predictors of Corporate Bankruptcy: Empirical Study on Data Mining MethodsCindy Yoshiko Shirata, Takao Terano. 204-207
- Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data SetsEinoshin Suzuki, Shusaku Tsumoto. 208-211
- Discovering Protein Functional Models Using Inductive Logic ProgrammingTakashi Ishikawa, Masayuki Numao, Takao Terano. 212-215
- Mining Web Transaction Patterns in an Electronic Commerce EnvironmentChing-Huang Yun, Ming-Syan Chen. 216-219
- Making Use of the Most Expressive Jumping Emerging Patterns for ClassificationJinyan Li, Guozhu Dong, Kotagiri Ramamohanarao. 220-232
- Mining Structured Association Patterns from DatabasesHirofumi Matsuzawa, Takeshi Fukuda. 233-244
- Association RulesTao Zhang. 245-256
- Density-Based Mining of Quantitative Association RulesDavid Wai-Lok Cheung, Lian Wang, Siu-Ming Yiu, Bo Zhou. 257-268
- AViz: A Visualization System for Discovering Numeric Association RulesJianchao Han, Nick Cercone. 269-280
- Discovering Unordered and Ordered Phrase Association Patterns for Text MiningRyoichi Fujino, Hiroki Arimura, Setsuo Arikawa. 281-293
- Using ::::Random Walks:::: for Mining Web Document AssociationsK. Selçuk Candan, Wen-Syan Li. 294-305
- A Concurrent Approach to the Key-Preserving Attribute-Oriented Induction MethodMaybin K. Muyeba, John A. Keane. 306-316
- Scaling Up a Boosting-Based Learner via Adaptive SamplingCarlos Domingo, Osamu Watanabe. 317-328
- Adaptive Boosting for Spatial Functions with Unstable Driving AttributesAleksandar Lazarevic, Tim Fiez, Zoran Obradovic. 329-340
- Robust Ensemble Learning for Data MiningGunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Müller. 341-344
- Interactive Visualization in Mining Large Decision TreesTrong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira. 345-348
- VQTree: Vector Quantization for Decision Tree InductionShlomo Geva, Lawrence Buckingham. 349-359
- Making Knowledge Extraction and Reasoning CloserFosca Giannotti, Giuseppe Manco. 360-371
- Discovery of Relevant Weights by Minimizing Cross-Validation ErrorKazumi Saito, Ryohei Nakano. 372-375
- Efficient and Comprehensible Local RegressionLuís Torgo. 376-379
- Information Granules for Spatial ReasoningAndrzej Skowron, Jaroslaw Stepaniuk, Shusaku Tsumoto. 380-383
- Uncovering the Hierarchical Structure of Text Archives by Using an Unsupervised Neural Network with Adaptive ArchitectureDieter Merkl, Andreas Rauber. 384-395
- Mining Access Patterns Efficiently from Web LogsJian Pei, Jiawei Han, Behzad Mortazavi-Asl, Hua Zhu. 396-407
- A Comparative Study of Classification Based Personal E-mail FilteringYanlei Diao, Hongjun Lu, Dekai Wu. 408-419
- Extension of Graph-Based Induction for General Graph Structured DataTakashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio. 420-431
- Text-Source Discovery and ::::GlOSS:::: Update in a Dynamic WebChi-Yuen Ng, Ben Kao, David Wai-Lok Cheung. 432-441
- Extraction of Fuzzy Clusters from Weighted GraphsSeiji Hotta, Kohei Inoue, Kiichi Urahama. 442-453
- Text Summarization by Sentence Segment Extraction Using Machine Learning AlgorithmsWesley T. Chuang, Jihoon Yang. 454-457