id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_hb5h33a6xnd2ngkrgel4i6p7i4	Hesam Hasanpour	Improving rule-based classification using Harmony Search	2019	14	.pdf	application/pdf	5926	622	58	We merged the Apriori algorithm, Harmony Search, and classificationbased association rules (CBA) algorithm in order to build a rule-based classifier. are a number of famous association rule mining algorithms that are accessible to researchers classifier by utilizing association rule mining is one of the attractive domain for data and association rule mining algorithm based on their classification performance and In this paper, we present an association rule-based classification method to obtain Apriori is a standard and well-known basic algorithm in association rule mining that is used Apriori is the most beneficial association rule mining algorithm. The Classification Based on Association rules (CBA) algorithm is one of the first Time complexity of the Apriori algorithm and association rule mining is a critical result with traditional association rule classification algorithms. proposed method with the CPAR, CBA and C4.5 algorithms that are famous in rule-based shows the accuracy of applying four rule-based classification algorithm on a dataset.	./cache/work_hb5h33a6xnd2ngkrgel4i6p7i4.pdf	./txt/work_hb5h33a6xnd2ngkrgel4i6p7i4.txt