© 2012

Data Mining: Foundations and Intelligent Paradigms

Volume 2: Statistical, Bayesian, Time Series and other Theoretical Aspects

  • Dawn E. Holmes
  • Lakhmi C. Jain
  • contains the latest research on data mining research and its applications to health informatics

  • The state of the art of data mining for health informatics is presented in a handbook style

  • Written by leading experts in this field


Part of the Intelligent Systems Reference Library book series (ISRL, volume 24)

Table of contents

  1. Front Matter
  2. Dawn E. Holmes, Jeffrey Tweedale, Lakhmi C. Jain
    Pages 1-7
  3. Eugenio Cesario, Marco Lackovic, Domenico Talia, Paolo Trunfio
    Pages 57-75
  4. Yannick Le Bras, Philippe Lenca, Stéphane Lallich
    Pages 77-98
  5. Boris Kovalerchuk, Florian Delizy, Logan Riggs, Evgenii Vityaev
    Pages 135-156
  6. Arno Knobbe, Ad Feelders, Dennis Leman
    Pages 183-198
  7. Petri Lehtinen, Matti Saarela, Tapio Elomaa
    Pages 199-216
  8. Foto Aftrati, Gautam Das, Aristides Gionis, Heikki Mannila, Taneli Mielikäinen, Panayiotis Tsaparas
    Pages 217-246
  9. Back Matter

About this book


Data mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 2 of this three volume series, we have brought together contributions from some of the most prestigious researchers in theoretical data mining. Each of the chapters is self contained. Statisticians and applied scientists/ engineers will find this volume valuable. Additionally, it provides a sourcebook for graduate students interested in the current direction of research in data mining.


Computational Intelligence Data Mining Health Informatics Intelligent Systems

Editors and affiliations

  • Dawn E. Holmes
    • 1
  • Lakhmi C. Jain
    • 2
  1. 1.Department of Statistics andApplied ProbabilityUniversity of California Santa BarbaraUSA
  2. 2.Knowledge-Based EngineeringUniversity of South AustraliaAdelaide Mawson LakesAustralia

Bibliographic information

  • Book Title Data Mining: Foundations and Intelligent Paradigms
  • Book Subtitle Volume 2: Statistical, Bayesian, Time Series and other Theoretical Aspects
  • Editors Dawn E. Holmes
    Lakhmi C Jain
  • Series Title Intelligent Systems Reference Library
  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-642-23240-4
  • Softcover ISBN 978-3-642-43429-7
  • eBook ISBN 978-3-642-23241-1
  • Series ISSN 1868-4394
  • Series E-ISSN 1868-4408
  • Edition Number 1
  • Number of Pages XIV, 250
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Computational Intelligence
    Artificial Intelligence
    Health Informatics
  • Buy this book on publisher's site
Industry Sectors
Chemical Manufacturing
IT & Software
Consumer Packaged Goods
Materials & Steel
Finance, Business & Banking
Energy, Utilities & Environment
Oil, Gas & Geosciences