Bonfring International Journal of Data Mining

Impact Factor: 0.245 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)


MIS-Tree Algorithm for Mining Association Rules with Multiple Minimum Supports

M. Sinthuja, S. Sheeba Rachel and G. Janani


Abstract:

Mining association rules with multiple minimum supports is an important generalization of the association-rule-mining problem. Instead of setting a single minimum support threshold for all items, they allow users to specify multiple minimum supports to reflect the natures of the items, omega replica and an Apriori-based algorithm, named MSapriori, is widely used to mine all frequent itemsets. In this paper the FP-tree-like structures, MIS-tree is widely used to store the crucial information about frequent patterns. The benefit of MIS-tree is it avoids rescanning replicas de bolsos louis vuitton and finds the different frequent itemsets.

Keywords: Data mining, Association rules, Minimum Support, FP-Tree

Volume: 1 | Issue: Inaugural Special Issue

Pages: 01-05

Issue Date: December , 2011

DOI: 10.9756/BIJDM.I1001

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