Advances in Knowledge Discovery and Data Mining, 1996

• Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth: From Data Mining to Knowledge Discovery: An Overview. 1-34

Foundations

• Ronald J. Brachman, Tej Anand: The Process of Knowledge Discovery in Databases. 37-57
• Wray L. Buntine: Graphical Models for Discivering Knowledge. 59-82
• John F. Elder IV, Daryl Pregibon: A Statistical Perspective on Knowledge Discovery in Databases. 83-113

Classification and Clustering

• Saso Dzeroski: Inductive Logic Programming and Knowledge Discovery in Databases. 117-152
• Peter Cheeseman, John Stutz: Bayesian Classification (AutoClass): Theory and Results. 153-180
• Isabelle Guyon, Nada Matic, Vladimir Vapnik: Discovering Informative Patterns and Data Cleaning. 181-203
• Brian R. Gaines: Transformation Rules and Trees. 205-226

Trend and Deviation Analysis

• Donald J. Berndt, James Clifford: Finding Patterns in Time Series: A Dynamic Programming Approach. 229-248
• Willi Klösgen: Explora: A Multipattern and Multistrategy Discovery Assistant. 249-271

Dependency Derivation

• David Heckerman: Bayesian Networks for Knowledge Discovery. 273-305
• Rakesh Agrawal, Heikki Mannila, Ramakrishnan Srikant, Hannu Toivonen, A. Inkeri Verkamo: Fast Discovery of Association Rules. 307-328
• Robert Zembowicz, Jan M. Zytkow: From Contingency Tables to Various Forms of Knowledge in Databases. 329-349

Integrated Discovery Systems

• Evangelos Simoudis, Brian Livezey, Randy Kerber: Integrating Inductive and Deductive Reasoning for Data Mining. 353-373
• Wei-Min Shen, KayLiang Ong, Bharat G. Mitbander, Carlo Zaniolo: Metaqueries for Data Mining. 375-398
• Jiawei Han, Yongjian Fu: Attribute-Oriented Induction in data Mining. 399-421

Next Generation Database Systems

• Chun-Nan Hsu, Craig A. Knoblock: Using Inductive Learning To Generate Rules for Semantic Query Optimization. 425-445
• Marcel Holsheimer: Data Surveyor: Searching the Nuggets in Parallel. 447-467

KDD Applications

• Usama M. Fayyad, S. George Djorgovski, Nicholas Weir: Automating the Analysis and Cataloging of Sky Surveys. 471-493
• Christopher J. Matheus, Gregory Piatetsky-Shapiro, Dwight McNeill: Selecting and reporting What Is Interesting. 495-515
• Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona: Modeling Subjective Uncertainty in Image Annotation. 517-539
• Chidanand Apté, Se June Hong: Predicting Equity Returns from Securities Data. 541-560
• Ramasamy Uthurusamy: From Data Mining to Knowledge Discovery: Current Challenges and Future Directions. 561-569

Appendencies

• Willi Klösgen, Jan M. Zytkow: Knowledge Discovery in Database Terminology. 573-592
• Gregory Piatetsky-Shapiro: Data Mining and Knowledge Discovery Internet Resources. 593-595