HBPFP-DC: A parallel frequent itemset mining using Spark

Xun, YL; Zhang, JF; Yang, HF; Qin, X

Xun, YL (corresponding author), Taiyuan Univ Sci & Technol TYUST, Taiyuan 030024, Shanxi, Peoples R China.

PARALLEL COMPUTING, 2021; 101 ():

Abstract

The frequent itemset mining (FIM) is one of the most important techniques to extract knowledge from data in many real-world applications. Facing big d......

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