Studies in Computational Intelligence

Data Mining: Foundations and Practice

Editors: Lin, T.Y., Xie, Y., Wasilewska, A., Liau, C.-J. (Eds.)

  • Presents foundations and practice of Data Mining

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eBook $269.00
price for USA (gross)
  • ISBN 978-3-540-78488-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $339.00
price for USA
  • ISBN 978-3-540-78487-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $339.00
price for USA
  • ISBN 978-3-642-09722-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book contains valuable studies in data mining from both foundational and practical perspectives. The foundational studies of data mining may help to lay a solid foundation for data mining as a scientific discipline, while the practical studies of data mining may lead to new data mining paradigms and algorithms.

The foundational studies contained in this book focus on a broad range of subjects, including conceptual framework of data mining, data preprocessing and data mining as generalization, probability theory perspective on fuzzy systems, rough set methodology on missing values, inexact multiple-grained causal complexes, complexity of the privacy problem, logical framework for template creation and information extraction, classes of association rules, pseudo statistical independence in a contingency table, and role of sample size and determinants in granularity of contingency matrix.

The practical studies contained in this book cover different fields of data mining, including rule mining, classification, clustering, text mining, Web mining, data stream mining, time series analysis, privacy preservation mining, fuzzy data mining, ensemble approaches, and kernel based approaches.

We believe that the works presented in this book will encourage the study of data mining as a scientific field and spark collaboration among researchers and practitioners.

Table of contents (32 chapters)

  • Compact Representations of Sequential Classification Rules

    Baralis, Elena (et al.)

    Pages 1-30

  • An Algorithm for Mining Weighted Dense Maximal 1-Complete Regions

    Bian, Haiyun (et al.)

    Pages 31-48

  • Mining Linguistic Trends from Time Series

    Chen, Chun-Hao (et al.)

    Pages 49-60

  • Latent Semantic Space for Web Clustering

    Chiang, I. Jen (et al.)

    Pages 61-77

  • A Logical Framework for Template Creation and Information Extraction

    Corney, David (et al.)

    Pages 79-108

Buy this book

eBook $269.00
price for USA (gross)
  • ISBN 978-3-540-78488-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $339.00
price for USA
  • ISBN 978-3-540-78487-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $339.00
price for USA
  • ISBN 978-3-642-09722-5
  • 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: Foundations and Practice
Editors
  • Tsau Young Lin
  • Ying Xie
  • Anita Wasilewska
  • Churn-Jung Liau
Series Title
Studies in Computational Intelligence
Series Volume
118
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-78488-3
DOI
10.1007/978-3-540-78488-3
Hardcover ISBN
978-3-540-78487-6
Softcover ISBN
978-3-642-09722-5
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XVI, 562
Number of Illustrations and Tables
104 b/w illustrations, 25 illustrations in colour
Topics