Scalable High Performance Computing for Knowledge Discovery and Data Mining

Scalable High Performance Computing for Knowledge Discovery and Data Mining : A Special Issue of Data Mining and Knowledge Discovery Volume 1, No.4 (1997)

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Description

Scalable High Performance Computing for Knowledge Discovery and Data Mining brings together in one place important contributions and up-to-date research results in this fast moving area.
Scalable High Performance Computing for Knowledge Discovery and Data Mining serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
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Product details

  • Hardback | 100 pages
  • 165.1 x 241.3 x 7.6mm | 317.52g
  • Dordrecht, Netherlands
  • English
  • Reprinted from DATA MINING AND KNOWLEDGE DISCOVERY, 1:4, 1998
  • IV, 100 p.
  • 0792380975
  • 9780792380979

Table of contents

Guest Editorial; P. Stolorz, R. Musick. Parallel Algorithms for Discovery of Association Rules; M.J. Zaki, S. Parthasarathy, M. Ogihara. A Distributed Algorithm for Content Based Indexing of Images by Projections on Ritz Primary Images; H. Schweitzer. High Performance OLAP and Data Mining on Parallel Computers; S. Goil, A. Choudhary. Halo World: Tools for Parallel Cluster Finding in Astrophysical N-Body Simulations; D.W. Pfitzer, J.K. Salmon, T. Sterling.
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