Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach

The Apriori algorithm creates all possible association rules between items in the database using the Association Rule Mining and Apriori Algorithm. Using Ant Colony Optimization, a new algorithm is proposed for improving association rule mining results. Using ant colony behaviour as a starting poin...

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Main Authors: Roni La’biran, Muhammad Kristiawan
Format: Article
Language:English
Published: College of Computer and Information Technology – University of Wasit, Iraq 2023-09-01
Series:Wasit Journal of Computer and Mathematics Science
Subjects:
Online Access:https://wjcm.uowasit.edu.iq/index.php/wjcm/article/view/190
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author Roni La’biran
Muhammad Kristiawan
author_facet Roni La’biran
Muhammad Kristiawan
author_sort Roni La’biran
collection DOAJ
description The Apriori algorithm creates all possible association rules between items in the database using the Association Rule Mining and Apriori Algorithm. Using Ant Colony Optimization, a new algorithm is proposed for improving association rule mining results. Using ant colony behaviour as a starting point, an optimization of ant colonies (ACO) is developed. The Apriori algorithm creates association rules. Determine the weakest rule set and reduce the association rules to find rules of higher quality than apriori based on the Ant Colony algorithm's threshold value. Through optimization and improvement of rules generated for ACO, the proposed research work aims to reduce the scanning of datasets.
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spelling doaj.art-0393e3f139ce4526857b484a7d7a6c9a2024-04-21T17:27:25ZengCollege of Computer and Information Technology – University of Wasit, IraqWasit Journal of Computer and Mathematics Science2788-58792788-58872023-09-012310.31185/wjcms.190Optimization of Association Rule Using Ant Colony Optimization (ACO) ApproachRoni La’biran0Muhammad Kristiawan1Indonesian Christian University, Toraja Jalan Nusantara No 12 Makale, Tana Toraja IndonesiaUniversity of Bengkulu Science of Education Jl. WR. Supratman, Kandang Limun Bengkulu, 38371A, Indonesia The Apriori algorithm creates all possible association rules between items in the database using the Association Rule Mining and Apriori Algorithm. Using Ant Colony Optimization, a new algorithm is proposed for improving association rule mining results. Using ant colony behaviour as a starting point, an optimization of ant colonies (ACO) is developed. The Apriori algorithm creates association rules. Determine the weakest rule set and reduce the association rules to find rules of higher quality than apriori based on the Ant Colony algorithm's threshold value. Through optimization and improvement of rules generated for ACO, the proposed research work aims to reduce the scanning of datasets. https://wjcm.uowasit.edu.iq/index.php/wjcm/article/view/190Data Mining, Association Rule Mining (ARM), Apriori Algorithm, Ant Colony Optimization (ACO), FP-Growth.
spellingShingle Roni La’biran
Muhammad Kristiawan
Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
Wasit Journal of Computer and Mathematics Science
Data Mining, Association Rule Mining (ARM), Apriori Algorithm, Ant Colony Optimization (ACO), FP-Growth.
title Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
title_full Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
title_fullStr Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
title_full_unstemmed Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
title_short Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
title_sort optimization of association rule using ant colony optimization aco approach
topic Data Mining, Association Rule Mining (ARM), Apriori Algorithm, Ant Colony Optimization (ACO), FP-Growth.
url https://wjcm.uowasit.edu.iq/index.php/wjcm/article/view/190
work_keys_str_mv AT ronilabiran optimizationofassociationruleusingantcolonyoptimizationacoapproach
AT muhammadkristiawan optimizationofassociationruleusingantcolonyoptimizationacoapproach