A New Approximate Method For Mining Frequent Itemsets From Big Data *

Valiullin, T; Huang, ZX; Wei, CH; Yin, JF; Wu, DM; Egorova, I

Huang, ZX (corresponding author), Shenzhen Univ, Coll Comp Sci & Software Engn, Big Data Inst, Shenzhen 518000, Peoples R China.

COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2021; 18 (3): 641

Abstract

Frequent itemsets mining is the first and most critical step of finding association rules from a transaction database. Association rules mining is one......

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