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Association rule mining is concerned with the discovery of interesting association relationships hidden in databases. Traditional algorithms are only considering the constraints of minimum support and minimum confidence. However, sometimes it is essential to find stronger association rules for decision makers possessing inadequate resources, and sometimes less strong rules are needed. In this paper,...
The issue of mining association rules with composite items was proposed several years ago. Algorithms with composite items have the potential to discover rules which cannot be found out by other algorithms without composite items. However, much redundant rules which are of trivial significance or even incorrect will be also discovered by these algorithms in certain cases. In this paper, the authors...
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