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High Performance Data Mining

Scaling Algorithms, Applications and Systems

  • Book
  • © 2002

Overview

Editors:
  1. Yike Guo

    1. Imperial College, UK

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    You can also search for this editor in PubMed   Google Scholar

  2. Robert Grossman

    1. University of Illinois at Chicago, USA

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    You can also search for this editor in PubMed   Google Scholar

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-iv
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  2. Editorial

    • Yike Guo, Robert Grossman
    Pages 235-236

  3. Parallel Formulations of Decision-Tree Classification Algorithms

    • Anurag Srivastava, Eui-Hong Han, Vipin Kumar, Vineet Singh
    Pages 237-261

  4. A Fast Parallel Clustering Algorithm for Large Spatial Databases

    • Xiaowei Xu, Jochen Jäger, Hans-Peter Kriegel
    Pages 263-290

  5. Effect of Data Distribution in Parallel Mining of Associations

    • David W. Cheung, Yongqiao Xiao
    Pages 291-314

  6. Parallel Learning of Belief Networks in Large and Difficult Domains

    • Y. Xiang, T. Chu
    Pages 315-339
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Keywords

About this book

High Performance Data Mining: Scaling Algorithms, Applications and Systems brings together in one place important contributions and up-to-date research results in this fast moving area.
High Performance Data Mining: Scaling Algorithms, Applications and Systems serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Editors and Affiliations

  • Imperial College, UK

    Yike Guo

  • University of Illinois at Chicago, USA

    Robert Grossman

Bibliographic Information

  • Book Title: High Performance Data Mining

  • Book Subtitle: Scaling Algorithms, Applications and Systems

  • Editors: Yike Guo, Robert Grossman

  • DOI: https://doi.org/10.1007/b116461

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 2002

  • Hardcover ISBN: 978-0-7923-7745-0Published: 31 January 2000

  • Softcover ISBN: 978-1-4757-8415-2Published: 26 April 2013

  • eBook ISBN: 978-0-306-47011-0Published: 08 May 2007

  • Edition Number: 1

  • Number of Pages: IV, 106

  • Topics: Data Structures and Information Theory, Information Storage and Retrieval, Processor Architectures

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