机译:A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream
Univ Michigan, Ann Arbor, MI 48109 USA|JD AI Res, Mountain View, CA 94539 USA;
Nanyang Technol Univ, Singapore 639798, Singapore;
Univ Technol Sydney, Ultimo, NSW 2007, AustraliaASTAR, Inst Infocomm Res, Singapore 138632, SingaporeUniv Michigan, Ann Arbor, MI 48109 USA;
Data stream mining; massive multi-transaction stream data; k-minimum value synopsis; downward-closure estimator; itemset frequency estimation; epsilon-close frequent itemset mining;