Advances in Knowledge Discovery and Data Mining (American Association for Artificial Intelligence)

-

ISBN 10: 0262560976 / ISBN 13: 9780262560979

Published by -, 1996

Advances in Knowledge Discovery and Data Mining (American Association for Artificial Intelligence) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Seller Inventory # 7719-9780262560979

Synopsis:

Advances in Knowledge Discovery and Data Mining 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.

Advances in Knowledge Discovery and Data Mining 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. Topics covered include fundamental issues, classification and clustering, trend and deviation analysis, dependency modeling, integrated discovery systems, next generation database systems, and application case studies. The contributors include leading researchers and practitioners from academia, government laboratories, and private industry. The last decade has seen an explosive growth in the generation and collection of data. Advances in data collection, widespread use of bar codes for most commercial products, and the computerization of many business and government transactions have flooded us with data and generated an urgent need for new techniques and tools that can intelligently and automatically assist in transforming this data into useful knowledge. This book is a timely and comprehensive overview of the new generation of techniques and tools for knowledge discovery in data. Distributed for AAAI Press

About the Author: Usama M. Fayyad heads the Machine Learning Systems Group at the Jet Propulsion Laboratory, California Institute of Technology and is an Adjunct Assistant Professor of Computer Science at the University of Southern California. Gregory Piatetsky-Shapiro is a Principal Member of Technical Staff and a Principal Investigator of KDD project at GTE Laboratories. Padhraic Smyth is a Technical Group Leader at the Jet Propulsion Laboratory. Ramasamy Uthurusamy is Machine Learning Project Leader at the General Motors R&D Center.

Bibliographic Details

Title: Advances in Knowledge Discovery and Data ...
Publisher: -
Publication Date: 1996
Binding: Paperback
Condition: Very Good