The association mining is one of the primary sub-areas in the field of data mining. This technique had been used in numerous practical applications, including consumer market baske...
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
Association rule mining (ARM) identifies frequent itemsets from databases and generates association rules by assuming that all items have the same significance and frequency of oc...
Inspired by emerging multi-core computer architectures, in this paper we present MT CLOSED, a multi-threaded algorithm for frequent closed itemset mining (FCIM). To the best of ou...
Discovery of association rules is a prototypical problem in data mining. The current algorithms proposed for data mining of association rules make repeated passes over the databas...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...