Paper Title:
An Algorithm for Mining Multidimensional Positive and Negative Association Rules
  Abstract

Research on negative association rule in multidimensional data mining is few. In this paper, an algorithm MPNAR is put forward to mine positive and negative association rules in multidimensional data. With the help of the basis of the minimum support and minimum confidence, this algorithm divided the multidimensional datasets into infrequent itemsets and frequent itemsets. The negative association rules could be mined from infrequent itemsets. Relative to the single positive association rule mining, the new additional negative association rules need not repeatedly read database because two types of association rules were simultaneously mined. Experiments show that the algorithm method is effective and valuable.

  Info
Periodical
Advanced Materials Research (Volumes 171-172)
Edited by
Zhihua Xu, Gang Shen and Sally Lin
Pages
445-449
DOI
10.4028/www.scientific.net/AMR.171-172.445
Citation
H. Jiang, Z. Bai, G. L. Liu, X. M. Luan, "An Algorithm for Mining Multidimensional Positive and Negative Association Rules", Advanced Materials Research, Vols. 171-172, pp. 445-449, 2011
Online since
December 2010
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Price
$32.00
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