An Algorithm for Mining Multidimensional Positive and Negative Association Rules
2010 ◽
Vol 171-172
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pp. 445-449
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Keyword(s):
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.
2018 ◽
Vol 6
(8)
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pp. 421
2012 ◽
Vol 198-199
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pp. 562-566
2006 ◽
Vol 10
(3)
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pp. 287-294
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2018 ◽
Vol 2018
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pp. 1-16
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2011 ◽
pp. 1425-1430
2011 ◽
pp. 307-312
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2010 ◽
pp. 15-32
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