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Data Mining: Foundations and Intelligent Paradigms

Volume 1: Clustering, Association and Classification

  • Book
  • © 2012

Overview

  • Latest research in data mining using intelligent paradigms and their applications
  • State-of-the-Art title
  • Written by leading experts in this field

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 23)

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Table of contents (12 chapters)

Keywords

About this book

There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.

 

Editors and Affiliations

  • Department of Statistics and Applied Probability , University of California, Santa Barbara, USA

    Dawn E. Holmes

  • Knowledge-Based Engineering , University of South Australia, Adelaide, Mawson Lakes, Australia

    Lakhmi C. Jain

Bibliographic Information

  • Book Title: Data Mining: Foundations and Intelligent Paradigms

  • Book Subtitle: Volume 1: Clustering, Association and Classification

  • Editors: Dawn E. Holmes, Lakhmi C. Jain

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-642-23166-7

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2012

  • Hardcover ISBN: 978-3-642-23165-0Published: 07 November 2011

  • Softcover ISBN: 978-3-642-43093-0Published: 26 January 2014

  • eBook ISBN: 978-3-642-23166-7Published: 09 November 2011

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XVI, 336

  • Topics: Computational Intelligence, Artificial Intelligence

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