Multi-objective Boolean grey wolf optimization based decomposition algorithm for high-frequency and high-utility itemset mining

In itemset mining, the two vital goals that must be resolved from a multi-objective perspective are frequency and utility. To effectively address the issue, researchers have placed a great deal of emphasis on achieving both objectives without sacrificing the quality of the solution. In this work, an...

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出版年:	AIMS Mathematics
主要な著者:	N. Pazhaniraja, Shakila Basheer, Kalaipriyan Thirugnanasambandam, Rajakumar Ramalingam, Mamoon Rashid, J. Kalaivani
フォーマット:	論文
言語:	英語
出版事項:	AIMS Press 2023-05-01
主題:	boolean operators grey wolf optimization frequency and utility mining swarm intelligence multi-objective algorithm
オンライン･アクセス:	https://www.aimspress.com/article/doi/10.3934/math.2023920?viewType=HTML