Knowledge Discovery in Databases, 1991

• William J. Frawley, Gregory Piatetsky-Shapiro, Christopher J. Matheus: Knowledge Discovery in Databases: An Overview. 1-30

Discovery of Quantitative Laws

• Jan M. Zytkow, J. Baker: Interactive Mining of Regularities in Databases. 31-54
• Y.-H. Wu, S. Wang: Discovering Functional Relationships from Observational Data. 55-70
• Edwin P. D. Pednault: Minimal-Length Encoding and Inductive Inference. 71-92
• C. Schaffer: On Evaluation of Domain-Independent Scientific Function-Finding Systems. 93-106

Discovery of Qualitative Laws

• Keith C. C. Chan, Andrew K. C. Wong: Statistical Technique for Extracting Classificatory Knowledge from Databases. 107-124
• David K. Y. Chiu, Andrew K. C. Wong, B. Cheung: Information Discovery through Hierarchical Maximum Entropy Discretization and Synthesis. 125-140
• Ramasamy Uthurusamy, Usama M. Fayyad, W. Scott Spangler: Learning Useful Rules from Inconclusive Data. 141-158
• Padhraic Smyth, Rodney M. Goodman: Rule Induction Using Information Theory. 159-176
• J. Hong, C. Mao: Incremental Discovery of Rules and Structure by Hierarchical and Parallel Clustering. 177-194
• Wojciech Ziarko: The Discovery, Analysis, and Representation of Data Dependencies in Databases. 195-212

Using Knowledge in Discovery

• Yandong Cai, Nick Cercone, Jiawei Han: Attribute-Oriented Induction in Relational Databases. 213-228
• Gregory Piatetsky-Shapiro: Discovery, Analysis, and Presentation of Strong Rules. 229-248
• Q. Wu, Paul Suetens, André Oosterlinck: Integration of Heuristic and Bayesian Approaches in a Pattern-Classification System. 249-260
• William J. Frawley: Using Functions to Encode Domain and Contextual Knowledge in Statistical Induction. 261-276
• Francesco Bergadano, Attilio Giordana, Lorenza Saitta, Filippo Brancadori, Davide De Marchi: Integrated Learning in a Real Domain. 277-288
• Michel Manago, Yves Kodratoff: Induction of Decision Trees from Complex Structured Data. 289-308

Data Summarization

• Meng Chang Chen, Lawrence McNamee: Summary Data Estimation Using Decision Trees. 309-324
• Peter Hoschka, Willi Klösgen: A Support System for Interpreting Statistical Data. 325-346
• Ronald R. Yager: On Linguistic Summaries of Data. 347-366

Domain-Specific Discovery Methods

• C.-S. Ai, Paul E. Blower Jr., Robert H. Ledwith: Extracting Reaction Information from Chemical Databases. 367-382
• Avelino J. Gonzalez, Harley R. Myler, Massood Towhidnejad, Frederic D. McKenzie, Robin R. Kladke: Automated Knowledge Generation From a CAD Database. 383-396
• Jeffrey C. Schlimmer, Tom M. Mitchell, John P. McDermott: Justification-Based Refinement of Expert Knowledge. 397-410
• Michael Siegel, Edward Sciore, Sharon C. Salveter: Rule Discovery for Query Optimization. 411-430

Integrated and Multiparadigm Systems

• Barry G. Silverman, M. R. Hieb, Toufic M. Mezher: Unsupervised Discovery in an Operational Control Setting. 431-448
• Kenneth A. Kaufman, Ryszard S. Michalski, Larry Kerschberg: Mining for Knowledge in Databases: Goals and General Description of the INLEN System. 449-464

Methodology and Application Issues

• John M. Long, E. A. Irani, James R. Slagle: Automating the Discovery of Causal Relationships in a Medical Records Database: The POSCH AI Project. 465-476
• Mary McLeish, P. Yao, M. Garg, T. Stirtzinger: Discovery of Medical Diagnostic Information: An Overview of Methods and Results. 477-490
• Brian R. Gaines: The Trade-Off between Knowledge and Data in Knowledge Acquisition. 491-506
• Daniel E. O'Leary: Knowledge Discovery as a Threat to Database Security. 507-516