An efficient approach for mining association rules from high utility itemsets
This paper addresses mining association rules from high utility itemsets. Designed FHIM algorithm extracts all high utility itemsets effectively. HUCI-Miner algorithm is used to derive itemsets with their generators efficiently. Condensed representation of association rules in share-confidence model is proposed. The method for extracting all rules from the compact representation is also proposed.
condensed representations data mining high utility itemset mining association rule mining non-redundant association rules