A Spark-based Incremental Algorithm for Frequent Itemset Mining-Reference-Cited by-同舟云学术

A Spark-based Incremental Algorithm for Frequent Itemset Mining

Published:2018 Issue: Volume: Page:
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Container-title:Proceedings of the 2018 2nd International Conference on Big Data and Internet of Things - BDIOT 2018
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Author:

Wen Haoxing¹,Kou Mingdong¹,He Hengyi¹,Li Xiaoguang¹,Tou Huaixiao²,Yang Yulu¹

Affiliation:

1. Nankai University, Tianjin China

2. Fudan University, Shanghai China

Publisher

ACM Press

Reference10 articles.

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2. Rakesh, A., Tomasz, I., and Arun, S. 1993. Mining association rules between sets of items in large databases. InSIGMOD, volume 22, pages 207--216.

3. Shiby, T., Sreenath, B., Khaled A., and Sanjay R. 1997. An efficient algorithm for the incremental updation of association rules in large databases. KDD, pages 263--266.

4. Xueyan, L. 2014. Mr-apriori: Association rules algorithm based on mapreduce. ICSESS, pages 141--144.

5. Hadoop. http://hadoop.apache.org.

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