
doi: 10.31185/wjcms.190
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.
Electronic computers. Computer science, Data Mining, Association Rule Mining (ARM), Apriori Algorithm, Ant Colony Optimization (ACO), FP-Growth., QA75.5-76.95
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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