High Performance Data Mining

High Performance Data Mining : Scaling Algorithms, Applications and Systems

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Description

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.
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Product details

  • Hardback | 106 pages
  • 156 x 234 x 7.87mm | 750g
  • Dordrecht, Netherlands
  • English
  • 2002.
  • IV, 106 p.
  • 0792377451
  • 9780792377450

Table of contents

Editorial; Yike Guo, R. Grossman. Parallel Formulations of Decision-Tree Classification Algorithms; A. Srivastava, Eui-Hong Han, V. Kumar, V. Singh. A Fast Parallel Clustering Algorithm for Large Spatial Databases; Xiaowei Xu, J. Jager, H.-P. Kiregel. Effect of Data Distribution in Parallel Mining of Associations; D.W. Cheung, Yongqiao Xiao. Parallel Learning of Belief Networks in Large and Difficult Domains; Y. Xiang, T. Chu.
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