Association Rule Mining with Levelwise Automatic Support Thresholds
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Assocaition Rule Mining with Itemwise Support Thresholds
Most of the association rule mining algorithm works based on the assumption that the items present in the dataset are of same kind with similar frequencies. Hence, the algorithms use levelwise support thresholds for mining. When the itemsets are of different frequency and of varied importance, the levelwise support thresholds are not suitable to discover frequent associations. Each item in a le...
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The effective construction of many association rule bases requires the computation of both frequent closed and frequent generator itemsets (FCIs/FGs). However, these two tasks are rarely combined. Most of the existing solutions apply levelwise breadth-first traversal, though depth-first traversal, depending on data characteristics, is often superior. Hence, we address here a hybrid algorithm th...
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The e ective construction of many association rule bases requires the computation of both frequent closed and frequent generator itemsets (FCIs/FGs). However, only few miners address both concerns, typically by applying levelwise breadthrst traversal. As depthrst traversal is known to be superior, we examine here the depthrst FCI/FG-mining. The proposed algorithm, Touch, deals with both tasks s...
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The effective construction of many association rule bases requires the computation of both frequent closed and frequent generator itemsets (FCIs/FGs). However, only few miners address both concerns, typically by applying levelwise breadth-first traversal. As depth-first traversal is known to be superior, we examine here the depth-first FCI/FG-mining. The proposed algorithm, Touch, deals with bo...
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The effective construction of many association rule bases require the computation of both frequent closed and frequent generator itemsets (FCIs/FGs). However, these two tasks are rarely combined. Most of the existing solutions apply levelwise breadth-first traversal, though depth-first traversal is knowingly superior. Hence, we address here the depth-first FCI/FG-mining. The proposed algorithm,...
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