Next Generation of Data-Mining Applications

Author:   Mehmed Kantardzic ,  Jozef Zurada
Publisher:   John Wiley and Sons Ltd
ISBN:  

9780471656050


Pages:   696
Publication Date:   01 April 2005
Format:   Hardback
Availability:   Awaiting stock   Availability explained


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Next Generation of Data-Mining Applications


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Overview

This book presents the next generation of data mining applications based on state-of-the art methodologies and techniques for analyzing enormous quantities of raw data in high-dimension Each chapter describes the data mining development process, results, and experiences with new data mining tools and techniques Includes twenty-five novel and diverse contributions from experienced and well-respected data mining scientists and practitioners that describe their recent applications using state-of-the-art methods and algorithms

Full Product Details

Author:   Mehmed Kantardzic ,  Jozef Zurada
Publisher:   John Wiley and Sons Ltd
Imprint:   Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)
Dimensions:   Width: 16.00cm , Height: 3.70cm , Length: 23.90cm
Weight:   1.055kg
ISBN:  

9780471656050


ISBN 10:   0471656054
Pages:   696
Publication Date:   01 April 2005
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   Awaiting stock   Availability explained

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Reviews

...the book is a highly authoritative, cohesive and timely exposure to the recent developments, application areas and future trends in DM. This is must reading for a wide audience of practitioners and researchers. (Mathematical Reviews, 2006e) ...a vast and comprehensive collection of chapters... (Technometrics, November 2005) All the major applications of data mining...are covered in detail from the leaders in the field. I recommend this text to practitioners and researchers alike. (Computing Reviews.com, July 26, 2005)


Author Information

MEHMED M. KANTARDZIC, PhD, is Associate Professor and Director of the Data Mining Laboratory at the University of Louisville. He is the author of five books in data mining, including Data Mining: Concepts, Models, Methods, and Algorithms (Wiley-IEEE Press), and has published more than 120 articles in refereed journals and conference proceedings. JOZEF ZURADA, PhD, is an associate professor at the University of Louisville. He is the coauthor of Knowledge Discovery for Business Information Systems and has published numerous articles in refereed journals and conference proceedings.

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