TFI-Apriori: Using new encoding to optimize the apriori algorithm-Reference-Cited by-同舟云学术

TFI-Apriori: Using new encoding to optimize the apriori algorithm

Published:2018-06-27 Issue:4 Volume:22 Page:807-827
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Ansari Ebrahim¹,Sadreddini M.H.²,Mirsadeghi S.M.H.¹,Keshtkaran Morteza²,Wallace Richard³

Affiliation:

1. Department of Computer Sciences and Information Technology, Institute for Advanced Studies in Basic Sciences, Zanjan, Iran

2. Department of Computer Science and Engineering, Shiraz University, Shiraz, Iran

3. Distributed Systems Architecture Research Group, Complutense University, Madrid, Spain

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference46 articles.

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3. H. Toivonen, T.M. Vijayaraman, A.P. Buchmann, C. Mohan and N.L. Sarda, Sampling large databases for association rules, in: proc. 22nd International Conference on Very Large Data Bases, 1996, 134–145.

4. J. Hipp, U. Güntzer, G. Nakhaeizadeh, Algorithms for association rule mining – a general survey and comparison, ACM SIGKDD Explorations Newsletter 2(1) (2000), 58–64.

5. An Efficient Algorithm for Mining Association Rules in Large Databases;Savasere;Proceedings of the 21th International Conference on Very Large Data Bases,,1995

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