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  • Book
  • © 2005

Foundations and Advances in Data Mining

Editors:

  • Brings together well respected data mining theoreticians and researchers with practical data mining experiences

  • Presents a theoretical foundation

  • Presents important new directions for data-mining research

  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 180)

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eBook USD 209.00
Price excludes VAT (USA)
  • ISBN: 978-3-540-32393-8
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 269.00
Price excludes VAT (USA)
Hardcover Book USD 249.99
Price excludes VAT (USA)

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Table of contents (11 chapters)

  1. Front Matter

  2. The Mathematics of Learning: Dealing with Data *

    • T. Poggio, S. Smale
    Pages 1-19
  3. Clustering Via Decision Tree Construction

    • B. Liu, Y. Xia, P.S. Yu
    Pages 97-124
  4. Incremental Mining on Association Rules

    • W.-G. Teng, M.-S. Chen
    Pages 125-162
  5. Web Page Classification*

    • B. Choi, Z. Yao
    Pages 221-274
  6. Web Mining – Concepts, Applications and Research Directions

    • T. Srivastava, P. Desikan, V. Kumar
    Pages 275-307
  7. Privacy-Preserving Data Mining

    • C. Clifton, M. Kantarcıoğlu, J. Vaidya
    Pages 309-340

About this book

With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.

Keywords

  • Analysis
  • Regression
  • classification
  • construction
  • data mining
  • learning
  • pattern mining
  • web mining
  • information and communication, circuits

Bibliographic Information

Buying options

eBook USD 209.00
Price excludes VAT (USA)
  • ISBN: 978-3-540-32393-8
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 269.00
Price excludes VAT (USA)
Hardcover Book USD 249.99
Price excludes VAT (USA)