Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques (Electronic book text)


This book will give the reader a perspective into the core theory and practice of Data Mining and Knowledge Discovery (DM and KD). Its chapters combine many theoretical foundations for various DM and KD methods, and they present a rich array of examples - many of which are drawn from real-life applications. Most of the theoretical developments discussed are accompanied by an extensive empirical analysis, which should give the reader both a deep theoretical and practical insight into the subjects covered. The book presents the combined research experiences of its 40 authors gathered during a long search in gleaning new knowledge from data. The last page of each chapter has a brief biographical statement of its contributors, who are world-renowned experts.

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Product Description

This book will give the reader a perspective into the core theory and practice of Data Mining and Knowledge Discovery (DM and KD). Its chapters combine many theoretical foundations for various DM and KD methods, and they present a rich array of examples - many of which are drawn from real-life applications. Most of the theoretical developments discussed are accompanied by an extensive empirical analysis, which should give the reader both a deep theoretical and practical insight into the subjects covered. The book presents the combined research experiences of its 40 authors gathered during a long search in gleaning new knowledge from data. The last page of each chapter has a brief biographical statement of its contributors, who are world-renowned experts.

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Product Details

General

Imprint

Springer

Country of origin

United States

Release date

2006

Availability

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Editors

,

Format

Electronic book text

Pages

784

ISBN-13

978-6610619351

Barcode

9786610619351

Categories

LSN

6610619352



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