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Wasit Journal of Computer and Mathematics Science
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach

Authors: Roni La’biran; Muhammad Kristiawan;

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

Abstract

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.

Related Organizations
Keywords

Electronic computers. Computer science, Data Mining, Association Rule Mining (ARM), Apriori Algorithm, Ant Colony Optimization (ACO), FP-Growth., QA75.5-76.95

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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