EAFIM: efficient apriori-based frequent itemset mining algorithm on Spark for big transactional data

Author:

Raj Shashi,Ramesh DharavathORCID,Sreenu M.,Sethi Krishan Kumar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference27 articles.

1. Aggarwal CC (2015) Data mining: the textbook. Springer, Berlin

2. Aggarwal CC, Bhuiyan MA, Al Hasan M (2014) Frequent pattern mining algorithms: a survey. In: Aggarwal CC, Han J (eds) Frequent pattern mining. Springer, Berlin, pp 19–64

3. Han J, Pei J, Kamber M (2011) Data mining: concepts and techniques. Elsevier, Amsterdam

4. Agrawal R, Srikant R (1994) Fast algorithms for mining association rules. In: Proceedings of the 20th international conference on very large data bases, VLDB. vol 1215

5. Anshu C, Raghuvanshi CS (2010) An algorithm for frequent pattern mining based on apriori. (IJCSE) Int J Comput Sci Eng 2(04):942–947

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