Fast discovery of long patterns for association rules

The most time consuming process in discovering association rules is identifying the frequent patterns especially in the cases when the database contains long patterns. An algorithm called Flex for identifying frequent patterns especially efficient when the patterns are long is proposed by successive...

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Main Authors: Mustapha, N., Sulaiman, M.N., Othman, M., Selamat, M.H.
Format: Article
Published: Informa UK Limited 2003
Online Access:http://psasir.upm.edu.my/id/eprint/115364/
https://www.tandfonline.com/doi/abs/10.1080/0020716031000112376
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Institution: Universiti Putra Malaysia
id my.upm.eprints.115364
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spelling my.upm.eprints.1153642025-03-03T08:05:42Z http://psasir.upm.edu.my/id/eprint/115364/ Fast discovery of long patterns for association rules Mustapha, N. Sulaiman, M.N. Othman, M. Selamat, M.H. The most time consuming process in discovering association rules is identifying the frequent patterns especially in the cases when the database contains long patterns. An algorithm called Flex for identifying frequent patterns especially efficient when the patterns are long is proposed by successive construction of the nodes lexicographic tree. The vertical counting strategy to facilitate fast discovery is used in support computation. The experimental result shows that Flex outperform Apriori, a well-known and widely used algorithm for patterns discovery. Informa UK Limited 2003 Article PeerReviewed Mustapha, N. and Sulaiman, M.N. and Othman, M. and Selamat, M.H. (2003) Fast discovery of long patterns for association rules. International Journal of Computer Mathematics, 80 (8). pp. 967-976. ISSN 0020-7160; eISSN: 1029-0265 https://www.tandfonline.com/doi/abs/10.1080/0020716031000112376 10.1080/0020716031000112376
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description The most time consuming process in discovering association rules is identifying the frequent patterns especially in the cases when the database contains long patterns. An algorithm called Flex for identifying frequent patterns especially efficient when the patterns are long is proposed by successive construction of the nodes lexicographic tree. The vertical counting strategy to facilitate fast discovery is used in support computation. The experimental result shows that Flex outperform Apriori, a well-known and widely used algorithm for patterns discovery.
format Article
author Mustapha, N.
Sulaiman, M.N.
Othman, M.
Selamat, M.H.
spellingShingle Mustapha, N.
Sulaiman, M.N.
Othman, M.
Selamat, M.H.
Fast discovery of long patterns for association rules
author_facet Mustapha, N.
Sulaiman, M.N.
Othman, M.
Selamat, M.H.
author_sort Mustapha, N.
title Fast discovery of long patterns for association rules
title_short Fast discovery of long patterns for association rules
title_full Fast discovery of long patterns for association rules
title_fullStr Fast discovery of long patterns for association rules
title_full_unstemmed Fast discovery of long patterns for association rules
title_sort fast discovery of long patterns for association rules
publisher Informa UK Limited
publishDate 2003
url http://psasir.upm.edu.my/id/eprint/115364/
https://www.tandfonline.com/doi/abs/10.1080/0020716031000112376
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