Abstract is missing.
- An Assessment of PrILÖzden Gür-Ali, William A. Wallace. 9-14
- STAR: A General Architecture for the Support of Distortion Oriented DisplaysPaul Anderson, Ray Smith, Zhongwei Zhang. 15-20
- Learning First Order Logic Rules with a Genetic AlgorithmSébastien Augier, Gilles Venturini, Yves Kodratoff. 21-26
- Discovery and Maintenance of Functional Dependencies by IndependenciesSiegfried Bell. 27-32
- Intelligent Instruments: Discovering How to Turn Spectral Data into InformationWray L. Buntine, Tarang Patel. 33-38
- Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine LearningPhilip K. Chan, Salvatore J. Stolfo. 39-44
- Designing Neural Networks from Statistical Models: A New Approach to Data ExplorationAntonio Ciampi, Yves Lechevallier. 45-50
- Limits on Learning Machine Accuracy Imposed by Data QualityCorinna Cortes, Lawrence D. Jackel, Wan-Ping Chiang. 57-62
- Exploiting Upper Approximation in the Rough Set MethodologyJitender S. Deogun, Vijay V. Raghavan, Hayri Sever. 69-74
- Analyzing the Benefits of Domain Knowledge in Substructure DiscoverySurnjani Djoko, Diane J. Cook, Lawrence B. Holder. 75-80
- Knowledge Discovery in a Water Quality DatabaseSaso Dzeroski. 81-86
- A Statistical Perspective On Knowledge Discovery In DatabasesJohn F. Elder IV, Daryl Pregibon. 87-93
- A Database Interface for Clustering in Large Spatial DatabasesMartin Ester, Hans-Peter Kriegel, Xiaowei Xu. 94-99
- Knowledge Discovery in Telecommunication Services Data Using Bayesian Network ModelsKazuo J. Ezawa, Steven W. Norton. 100-105
- Optimization and Simplification of Hierarchical ClusteringsDouglas Fisher. 118-123
- Structured and Unstructured Induction with EDAGsBrian R. Gaines. 124-129
- Restructuring Databases for Knowledge Discovery by Consolidation and Link FormationHenry G. Goldberg, Ted E. Senator. 136-141
- Discriminant Adaptive Nearest Neighbor ClassificationTrevor Hastie, Robert Tibshirani. 142-149
- A Perspective on Databases and Data MiningMarcel Holsheimer, Martin L. Kersten, Heikki Mannila, Hannu Toivonen. 150-155
- Estimating the Robustness of Discovered KnowledgeChun-Nan Hsu, Craig A. Knoblock. 156-161
- Rough Sets Similarity-Based Learning from DatabasesXiaohua Hu, Nick Cercone. 162-167
- Efficient Algorithms for Attribute-Oriented InductionHoi-Yee Hwang, Ada Wai-Chee Fu. 168-173
- Robust Decision Trees: Removing Outliers from DatabasesGeorge H. John. 174-179
- Conceptual Clustering in Structured Databases: A Practical ApproachA. Ketterlin, Pierre Gançarski, Jerzy J. Korczak. 180-185
- Anonymization Techniques for Knowledge Discovery in DatabasesWilli Klösgen. 186-191
- Exploiting Visualization in Knowledge DiscoveryHing-Yan Lee, Hwee-Leng Ong, Lee-Hian Quek. 198-203
- Knowledge-Based Scientific Discovery in Geological DatabasesCen Li, Gautam Biswas. 204-209
- Discovering Frequent Episodes in SequencesHeikki Mannila, Hannu Toivonen, A. Inkeri Verkamo. 210-215
- MDL-Based Decision Tree PruningManish Mehta 0002, Jorma Rissanen, Rakesh Agrawal. 216-221
- Decision Tree Induction: How Effective is the Greedy Heuristic?Sreerama K. Murthy, Steven Salzberg. 222-227
- An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian ClassifiersMichael J. Pazzani. 228-233
- Compression-Based Evaluation of Partial DeterminationsBernhard Pfahringer, Stefan Kramer. 234-239
- Knowledge Discovery from Multiple DatabasesJames S. Ribeiro, Kenneth A. Kaufman, Larry Kerschberg. 240-245
- Discovering Enrollment Knowledge in University DatabasesArun P. Sanjeev, Jan M. Zytkow. 246-251
- Extracting Support Data for a Given TaskBernhard Schölkopf, Chris Burges, Vladimir Vapnik. 252-257
- Feature Extraction for Massive Data MiningV. Seshadri, Raguram Sasisekharan, Sholom M. Weiss. 258-262
- Using Rough Sets as Tools for Knowledge DiscoveryNing Shan, Wojciech Ziarko, Howard J. Hamilton, Nick Cercone. 263-268
- On Subjective Measures of Interestingness in Knowledge DiscoveryAbraham Silberschatz, Alexander Tuzhilin. 275-281
- Discovery of Concurrent Data Models from Experimental Tables: A Rough Set ApproachAndrzej Skowron, Zbigniew Suraj. 288-293
- Learning Bayesian Networks with Discrete Variables from DataPeter Spirtes, Christopher Meek. 294-299
- Fast Spatio-Temporal Data Mining of Large Geophysical DatasetsPaul E. Stolorz, Hisashi Nakamura, Edmond Mesrobian, Richard R. Muntz, Eddie C. Shek, Jose Renato Santos, J. Yi, Kenneth W. Ng, S. Y. Chien, Carlos R. Mechoso, John D. Farrara. 300-305
- Accelerated Quantification of Bayesian Networks with Incomplete DataBo Thiesson. 306-311
- Automated Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Statistical TestingShusaku Tsumoto, Hiroshi Tanaka. 312-317
- Automated Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of RepresentationShusaku Tsumoto, Hiroshi Tanaka. 318-324
- Fuzzy Interpretation of Induction ResultsXindong Wu, Petter Måhlén. 325-330
- Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and ExperimentOsmar R. Zaïane, Jiawei Han. 331-336
- Toward a Multi-Strategy and Cooperative Discovery SystemNing Zhong, Setsuo Ohsuga. 337-343