This book brings together the latest research—in statistics, databases, machine learning, and artificial intelligence—that are part of the exciting and rapidly growing field of Knowledge Discovery and Data Mining.

The chapters of this book, organized into eight sections, span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation, integrated discovery systems, augmented database systems, and application case studies:

Part One deals with fundamental issues in discovery.

Part Two examines specific techniques for data mining.

Part Three presents methods for dealing with trend and deviation analysis.

Part Four focuses on data mining techniques for deriving dependencies.

Part Five discusses integrated discovery systems.

Part Six presents approaches for next-generation database systems.

Part Seven presents several real and successful applications.

The Appendices provides a list of terms used in the literature of this fast-expanding field, and a list of online resources for the KDD researcher.