On a parallel spark workflow for frequent itemset mining based on array prefix‐tree

Author:

Niu Xinzheng1,Wu Peng1ORCID,Wu Chase Q.2,Hou Aiqin3,Qian Mideng1

Affiliation:

1. School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu Sichuan China

2. Department of Computer Science New Jersey Institute of Technology Newark New Jersey USA

3. School of Information Science and Technology Northwest University Xi'an Shaanxi China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference36 articles.

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2. WuH LuZ PanL XuR JiangW. An improved apriori‐based algorithm for association rules mining. Paper presented at: Proceedings of the 2009 6th International Conference on Fuzzy Systems and Knowledge Discovery; Tianjin China; vol. 2;2009:51‐55;IEEE.

3. Improving efficiency of apriori algorithm using transaction reduction;Singh J;Int J Sci Res Public,2013

4. Implementing improved algorithm over APRIORI data mining association rule algorithm 1;Rao S;IJCST,2012

5. Research of an Improved Apriori Algorithm in Data Mining Association Rules

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