Efficient algorithms for frequent pattern mining in many-task computing environments-Reference-Cited by-同舟云学术

Efficient algorithms for frequent pattern mining in many-task computing environments

Published:2013-09 Issue: Volume:49 Page:10-21
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Lin Kawuu W.,Lo Yu-Chin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference25 articles.

1. Grid implementation of the Apriori algorithm;Aflori;Advances in Engineering Software,2007

2. R. Agrawal, R. Srikant, Quest Synthetic Data Generator, IBM Almaden Research Center, San Jose, California. .

3. R. Agrawal, R. Srikant, Fast algorithms for mining association rules, in: Proceedings of the 20th International Conference on Very Large Data Bases, 1994, pp. 487–499.

4. Parallel mining of association rules;Agrawal;IEEE Transactions on Knowledge and Data Engineering,1996

5. A tree projection algorithm for generation of frequent itemsets;Agarwal;Journal of Parallel and Distributed Computing,2001

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