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Data Mining

A Knowledge Discovery Approach

Authors: Cios, K.J., Pedrycz, W., Swiniarski, R.W., Kurgan, L.

  • Provides suite of exercises
  • Includes links to instructional presentations
  • Contains appendices of relevant mathematical material
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eBook $69.99
price for USA
  • ISBN 978-0-387-36795-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $99.00
price for USA
  • ISBN 978-0-387-33333-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $99.00
price for USA
  • ISBN 978-1-4419-4120-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this Textbook

This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribe the sequence in which data mining projects should be performed. Data Mining offers an authoritative treatment of all development phases from problem and data understanding through data preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes this book from other texts in the area. It concentrates on data preparation, clustering and association rule learning (required for processing unsupervised data), decision trees, rule induction algorithms, neural networks, and many other data mining methods, focusing predominantly on those which have proven successful in data mining projects.

Based upon the authors’ previous successful book on data mining and knowledge discovery, this new volume has been extensively expanded, making it an effective instructional tool for advanced-level undergraduate and graduate courses. This book offers:

  • A suite of exercises at the end of every chapter, designed to enhance the reader’s understanding of the theory and proficiency with the tools presented

  • Links to all-inclusive instructional presentations for each chapter to ensure easy use in classroom teaching

  • Extensive appendices covering relevant mathematical material for convenient look-up

  • Methods for addressing issues related to data privacy and security within the context of data mining, enabling the reader to balance potentially conflicting aims

  • Summaries and bibliographical notes for each chapter, providing a broader perspective of the concepts and methods described

Researchers, practitioners and students are certain to consider this volume an indispensable resource in successfully accomplishing the goals of their data mining projects.

 

 

Reviews

From the reviews: “This is a comprehensive book about knowledge discovery methods. … the book is highly recommended to final year undergraduate students, postgraduate students and lecturers. … it has a good balance of various topics making it a good reference book for practitioners, such as data modellers, insight analysts, fraud analysts, etc., as well as researchers. … this book is very well organized and presented. … I would certainly recommend it to those with intermediate or advanced understanding of data-mining topics.” (Boran Gazi, The Computer Journal, Vol. 53 (4), 2010)

Table of contents (9 chapters)

  • Introduction

    Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, et al.

    Pages 3-7

  • The Knowledge Discovery Process

    Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, et al.

    Pages 9-24

  • Data

    Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, et al.

    Pages 27-47

  • Concepts of Learning, Classification, and Regression

    Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, et al.

    Pages 49-67

  • Knowledge Representation

    Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, Lukasz A. Kurgan

    Pages 69-91

Buy this book

eBook $69.99
price for USA
  • ISBN 978-0-387-36795-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $99.00
price for USA
  • ISBN 978-0-387-33333-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $99.00
price for USA
  • ISBN 978-1-4419-4120-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Data Mining
Book Subtitle
A Knowledge Discovery Approach
Authors
Copyright
2007
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-36795-8
DOI
10.1007/978-0-387-36795-8
Hardcover ISBN
978-0-387-33333-5
Softcover ISBN
978-1-4419-4120-6
Edition Number
1
Number of Pages
XV, 606
Topics