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Large-Scale Parallel Data Mining

  • Mohammed J. Zaki
  • Ching-Tien Ho

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1759)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 1759)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Large-Scale Parallel Data Mining

  3. Mining Frameworks

    1. Graham Williams, Irfan Altas, Sergey Bakin, Peter Christen, Markus Hegland, Alonso Marquez et al.
      Pages 24-54
    2. Stuart Bailey, Emory Creel, Robert Grossman, Srinath Gutti, Harinath Sivakumar
      Pages 55-64
    3. Srinivasan Parthasarathy, Sandhya Dwarkadas, Mitsunori Ogihara
      Pages 65-82
  4. Associations and Sequences

    1. Mahesh V. Joshi, Eui-Hong Sam Han, George Karypis, Vipin Kumar
      Pages 83-126
    2. Shinichi Morishita, Akihiro Nakaya
      Pages 127-144
    3. Takahiko Shintani, Masaru Kitsuregawa
      Pages 145-160
  5. Classification

    1. D. B. Skillicorn
      Pages 190-196
    2. Sanjay Goil, Alok Choudhary
      Pages 197-210
    3. Lawrence O. Hall, Nitesh Chawla, Kevin W. Bowyer, W. Philip Kegelmeyer
      Pages 211-220
  6. Clustering

    1. Erik L. Johnson, Hillol Kargupta
      Pages 221-244
    2. Inderjit S. Dhillon, Dharmendra S. Modha
      Pages 245-260
  7. Back Matter
    Pages 261-261

About these proceedings

Keywords

classification data mining distributed information systems information extraction information retrieval internet searching parallel databases search algorithms

Editors and affiliations

  • Mohammed J. Zaki
    • 1
  • Ching-Tien Ho
    • 2
  1. 1.Computer Science DepartmentRensselaer Polytechnic InstituteTroyUSA
  2. 2.K55/B1, IBM Almaden Research CenterSan JoseUSA

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-46502-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2000
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-67194-7
  • Online ISBN 978-3-540-46502-7
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site