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An Improved Algorithm for Frequent Itemsets Mining

Authors :
Hao Jiang
Xu He
Source :
CBD
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

Based on the classical FP-growth algorithm about frequent itemsets mining, this paper proposes a more efficient non-recursive FPNR-growth algorithm and corresponding data structure. The experimental results show that the FPNR-growth algorithm is superior to the FP-growth algorithm, both in mining time and in storage space.

Details

Database :
OpenAIRE
Journal :
2017 Fifth International Conference on Advanced Cloud and Big Data (CBD)
Accession number :
edsair.doi...........77fa8df3456bbefabe90b9f4078b98a2