ACMKC: A Compact Associative Classification Model Using K-Modes Clustering with Rule Representations by Coverage
The generation and analysis of vast amounts of data have become increasingly prevalent in diverse applications. In this study, we propose a novel approach to address the challenge of rule explosion in association rule mining by utilizing the coverage-based representations of clusters determined by K...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2023-09-01
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| Edice: | Mathematics |
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| On-line přístup: | https://www.mdpi.com/2227-7390/11/18/3978 |
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