A Foundational Approach to Mining Itemset Utilities from Databases [chapter]

Hong Yao, Howard J. Hamilton, Cory J. Butz
2004 Proceedings of the 2004 SIAM International Conference on Data Mining  
Most approaches to mining association rules implicitly consider the utilities of the itemsets to be equal. We assume that the utilities of itemsets may differ, and identify the high utility itemsets based on information in the transaction database and external information about utilities. Our theoretical analysis of the resulting problem lays the foundation for future utility mining algorithms.
doi:10.1137/1.9781611972740.51 dblp:conf/sdm/YaoHB04 fatcat:czgricondzcj3khrsfl7n63dmu