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Advances in Knowledge Discovery & Data Mining

Advances in Knowledge Discovery & Data Mining

Advances in Knowledge Discovery & Data Mining: (American Association for Artificial Intelligence) Paperback - 1996

by Edited by Usama M. Fayyad, Gregory Piatetsky‑Shapiro, Padhraic Smyth, and Ramasamy Uthurusamy

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

Edited by Usama M. Fayyad, Gregory Piatetsky‑Shapiro, Padhraic Smyth, and Ramasamy Uthurusamy AAAI Press / MIT Press, 1996 ISBN 0262560976 / 9780262560979 Language: English

Book Description

A landmark volume documenting the early, formative years of knowledge discovery in databases (KDD) and data mining as emerging scientific disciplines. This collection brings together foundational research on pattern discovery, machine learning methods, statistical modeling, clustering, classification, visualization, and large‑scale data analysis. Edited by leading figures in the field, the book captures the transition from traditional database systems to intelligent, automated knowledge extraction. From the Hassan Aït‑Kaci technical library, reflecting his engagement with logic‑based knowledge representation, machine learning, and the evolution of intelligent information systems.

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From the publisher

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

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