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Information Systems and Applications, incl. Internet/Web, and HCI

Visual Data Mining

Theory, Techniques and Tools for Visual Analytics

Editors: Simoff, Simeon, Böhlen, Michael H., Mazeika, Arturas (Eds.)

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  • ISBN 978-3-540-71080-6
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About this book

The importance of visual data mining, as a strong sub-discipline of data mining, had already been recognized in the beginning of the decade. In 2005 a panel of renowned individuals met to address the shortcomings and drawbacks of the current state of visual information processing. The need for a systematic and methodological development of visual analytics was detected.

This book aims at addressing this need. Through a collection of 21 contributions selected from more than 46 submissions, it offers a systematic presentation of the state of the art in the field. The volume is structured in three parts on theory and methodologies, techniques, and tools and applications.

Table of contents (22 chapters)

  • Visual Data Mining: An Introduction and Overview

    Simoff, Simeon J. (et al.)

    Pages 1-12

  • The 3DVDM Approach: A Case Study with Clickstream Data

    Böhlen, Michael H. (et al.)

    Pages 13-29

  • Form-Semantics-Function – A Framework for Designing Visual Data Representations for Visual Data Mining

    Simoff, Simeon J.

    Pages 30-45

  • A Methodology for Exploring Association Models

    Jorge, Alipio (et al.)

    Pages 46-59

  • Visual Exploration of Frequent Itemsets and Association Rules

    Yang, Li

    Pages 60-75

Buy this book

eBook $84.99
price for USA in USD (gross)
  • ISBN 978-3-540-71080-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
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Bibliographic Information

Bibliographic Information
Book Title
Visual Data Mining
Book Subtitle
Theory, Techniques and Tools for Visual Analytics
Editors
  • Simeon Simoff
  • Michael H. Böhlen
  • Arturas Mazeika
Series Title
Information Systems and Applications, incl. Internet/Web, and HCI
Series Volume
4404
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-71080-6
DOI
10.1007/978-3-540-71080-6
Edition Number
1
Number of Pages
X, 407
Topics