Paper Title:
Application of the Parallel Spatial Association Rule in Remote Sensing Data Mining
  Abstract

Since the remote sensing data are multi-resources and massive, the common data mining algorithm cannot effectively discover the knowledge what people want to know. However, spatial association rule can solve the problem of inefficiency in remote sensing data mining. This paper gives an algorithm to compute the frequent item sets though a method like calculating vectors inner-product. And the algorithm will introduce pruning in the whole running. It reduces the time and resources consumption effectively

  Info
Periodical
Chapter
Chapter 2: Microwaves Optics and Image
Edited by
David Wang
Pages
598-602
DOI
10.4028/www.scientific.net/KEM.500.598
Citation
J. Ma, D. D. Zhang, "Application of the Parallel Spatial Association Rule in Remote Sensing Data Mining", Key Engineering Materials, Vol. 500, pp. 598-602, 2012
Online since
January 2012
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Price
$32.00
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