Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques

Name: Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
Brand: Springer-Verlag New York Inc.
SKU: 9781441941732
Price: 76883 HUF
Availability: InStock

Szerző: Evangelos Triantaphyllou, Giovanni Felici

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten

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This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) exa...

Információk a könyvről

Szerző

Evangelos Triantaphyllou, Giovanni Felici

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2011

oldal

748

EAN

9781441941732

ISBN

1441941738

Enbook ID

01422686

Kiadó

Springer-Verlag New York Inc.

Súly

1199

Méretek

155 x 235 x 234

Teljes leírás

This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and presenting an array of examples, many drawn from real-life applications. Most theoretical developments are accompanied by extensive empirical analysis, offering a deep insight into both theoretical and practical aspects of the subject. The book presents the combined research experiences of 40 expert contributors of world renown.This book will give the reader a perspective into the core theory and practice of data mining and knowledge discovery (DM&KD). Its chapters combine many theoretical foundations for various DM&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. §Audience§The intended audience for this book includes graduate students studying data mining who have some background in mathematical logic and discrete optimization, as well as researchers and practitioners in the same area.

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Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques

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