Tracing Significant Association Rules Using Critical Least Association Rules Model

Tracing Significant Association Rules Using Critical Least Association Rules Model

Mining of least association rules from large databases has received a great attention in knowledge discovery. These rules are very useful especially in tracing the unexceptional events or situations. Until this moment, the ratio of studies in this area is still unbalanced as compared to mine frequen...

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Main Authors: Zailani, Abdullah, Tutut, Herawan, Mustafa, Mat Deris
Format: Article
Language:English
Published: Inderscience Publishers 2013
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/6581/
http://umpir.ump.edu.my/id/eprint/6581/
http://umpir.ump.edu.my/id/eprint/6581/
http://umpir.ump.edu.my/id/eprint/6581/1/Tracing_Significant_Association_Rules_Using_Critical_Least_Association_Rules_Model.pdf
id ump-6581
recordtype eprints
spelling ump-65812016-07-14T01:43:29Z http://umpir.ump.edu.my/id/eprint/6581/ Tracing Significant Association Rules Using Critical Least Association Rules Model Zailani, Abdullah Tutut, Herawan Mustafa, Mat Deris QA76 Computer software Mining of least association rules from large databases has received a great attention in knowledge discovery. These rules are very useful especially in tracing the unexceptional events or situations. Until this moment, the ratio of studies in this area is still unbalanced as compared to mine frequent rules. The difficulties level of mining these rules as compared to frequent rules are different since it involves with the excessive in computational costs, rather complicated and entailed a dedicated measurement. Therefore, this paper proposed an efficient model called critical least association rule (CLAR) to mine the significant rules so called critical least association rules. Several experiments with real and UCI datasets has shown that the CLAR successfully in producing the critical least association rules, up to 1.5 times faster and less 96% complexity than benchmarked FP-growth algorithm. Inderscience Publishers 2013 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6581/1/Tracing_Significant_Association_Rules_Using_Critical_Least_Association_Rules_Model.pdf Zailani, Abdullah and Tutut, Herawan and Mustafa, Mat Deris (2013) Tracing Significant Association Rules Using Critical Least Association Rules Model. International Journal of Innovative Computing and Applications, 5 (1). pp. 3-17. ISSN 1751-648X (Print); 1751-6498 (Online) http://dx.doi.org/10.1504/IJICA.2013.052350 DOI: 10.1504/IJICA.2013.052350
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Zailani, Abdullah
Tutut, Herawan
Mustafa, Mat Deris
Tracing Significant Association Rules Using Critical Least Association Rules Model
description Mining of least association rules from large databases has received a great attention in knowledge discovery. These rules are very useful especially in tracing the unexceptional events or situations. Until this moment, the ratio of studies in this area is still unbalanced as compared to mine frequent rules. The difficulties level of mining these rules as compared to frequent rules are different since it involves with the excessive in computational costs, rather complicated and entailed a dedicated measurement. Therefore, this paper proposed an efficient model called critical least association rule (CLAR) to mine the significant rules so called critical least association rules. Several experiments with real and UCI datasets has shown that the CLAR successfully in producing the critical least association rules, up to 1.5 times faster and less 96% complexity than benchmarked FP-growth algorithm.
format Article
author Zailani, Abdullah
Tutut, Herawan
Mustafa, Mat Deris
author_facet Zailani, Abdullah
Tutut, Herawan
Mustafa, Mat Deris
author_sort Zailani, Abdullah
title Tracing Significant Association Rules Using Critical Least Association Rules Model
title_short Tracing Significant Association Rules Using Critical Least Association Rules Model
title_full Tracing Significant Association Rules Using Critical Least Association Rules Model
title_fullStr Tracing Significant Association Rules Using Critical Least Association Rules Model
title_full_unstemmed Tracing Significant Association Rules Using Critical Least Association Rules Model
title_sort tracing significant association rules using critical least association rules model
publisher Inderscience Publishers
publishDate 2013
url http://umpir.ump.edu.my/id/eprint/6581/
http://umpir.ump.edu.my/id/eprint/6581/
http://umpir.ump.edu.my/id/eprint/6581/
http://umpir.ump.edu.my/id/eprint/6581/1/Tracing_Significant_Association_Rules_Using_Critical_Least_Association_Rules_Model.pdf
first_indexed 2023-09-18T22:02:29Z
last_indexed 2023-09-18T22:02:29Z
_version_ 1777414490537590784

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