Data Mining: Foundations and Intelligent Paradigms

Volume 3: Medical, Health, Social, Biological and other Applications

  • Dawn E. Holmes
  • Lakhmi C Jain

Part of the Intelligent Systems Reference Library book series (ISRL, volume 25)

Table of contents

  1. Front Matter
    Pages 1-13
  2. Dawn E. Holmes, Jeffrey W. Tweedale, Lakhmi C. Jain
    Pages 1-7
  3. Giulia Bruno, Paolo Garza
    Pages 9-18
  4. Ferhat Ay, Günhan Gülsoy, Tamer Kahveci
    Pages 63-99
  5. Erliang Zeng, Chris Ding, Kalai Mathee, Lisa Schneper, Giri Narasimhan
    Pages 123-162
  6. Xia Jiang, Shyam Visweswaran, Richard E. Neapolitan
    Pages 187-209
  7. D. B. Skillicorn
    Pages 211-223
  8. Bettina Berendt
    Pages 265-297
  9. Rudy Setiono, Bart Baesens, David Martens
    Pages 299-320
  10. Khan Muhammad Badruddin, Isao Yagi, Takao Terano
    Pages 343-361
  11. Back Matter
    Pages 1-1

About this book

Introduction

Data mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 3 of this three volume series, we have brought together contributions from some of the most prestigious researchers in applied data mining. Areas of application covered are diverse and include healthcare and finance. Each of the chapters is self contained. Statisticians, applied scientists/ engineers and researchers in bioinformatics will find this volume valuable. Additionally, it provides a sourcebook for graduate students interested in the current direction of research in applied data mining.

Keywords

Computational Intelligence Data Mining Financial Modelling Intelligent Systems

Editors and affiliations

  • Dawn E. Holmes
    • 1
  • Lakhmi C Jain
    • 2
  1. 1.College of Letters & Science, Dept. Statistics & Applied ProbabilityUniversity of California, Santa BarbaraSanta BarbaraUSA
  2. 2., School of Electrical and Information EngUniversity of South AustraliaMawson Lakes CampusAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-23151-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-23150-6
  • Online ISBN 978-3-642-23151-3
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • About this book