Fast discovery of association rules
Advances in knowledge discovery and data mining
MAFIA: A Maximal Frequent Itemset Algorithm
IEEE Transactions on Knowledge and Data Engineering
Constraint programming for itemset mining
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Conflict-driven answer set enumeration
LPNMR'07 Proceedings of the 9th international conference on Logic programming and nonmonotonic reasoning
MiningZinc: a modeling language for constraint-based mining
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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We present an initial exploration into the possibilities of applying current state-of-the-art answer set programming (ASP) tools--esp. conflict-driven answer set enumeration--for mining itemsets in 0-1 data. We evaluate a simple ASP-based approach experimentally and compare it to a recently proposed framework exploiting constraint programming (CP) solvers for itemset mining.