受自然启发的顶 k 多级高实用性项目集挖掘方法

IF 1.1 4区计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS

Cybernetics and Systems Pub Date : 2023-12-28 DOI:10.1080/01969722.2023.2296244

N. T. Tung, Trinh D. D Nguyen, Loan T. T. Nguyen, Quan Thanh Tho, An Mai

引用次数: 0

摘要

高实用项集挖掘（HUIM）旨在发现能从数据库中带来高收益的项集集。然而，HUIM 在挑选合适的最小项集时遇到了一些挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Nature-Inspired Method to Mine Top-k Multi-Level High-Utility Itemsets

High-Utility Itemset Mining (HUIM) is designed to discover sets of itemsets that can bring high profits from the database. However, HUIM encounters several challenges in picking a suitable minimum ...

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来源期刊

Cybernetics and Systems 工程技术-计算机：控制论

CiteScore

4.30

自引率

5.90%

发文量

审稿时长

>12 weeks

期刊介绍： Cybernetics and Systems aims to share the latest developments in cybernetics and systems to a global audience of academics working or interested in these areas. We bring together scientists from diverse disciplines and update them in important cybernetic and systems methods, while drawing attention to novel useful applications of these methods to problems from all areas of research, in the humanities, in the sciences and the technical disciplines. Showing a direct or likely benefit of the result(s) of the paper to humankind is welcome but not a prerequisite. We welcome original research that: -Improves methods of cybernetics, systems theory and systems research- Improves methods in complexity research- Shows novel useful applications of cybernetics and/or systems methods to problems in one or more areas in the humanities- Shows novel useful applications of cybernetics and/or systems methods to problems in one or more scientific disciplines- Shows novel useful applications of cybernetics and/or systems methods to technical problems- Shows novel applications in the arts