ASSOCIATIVE CLASSIFICATION WITH MULTIOBJECTIVE TABU SEARCH
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Universidad de Costa Rica
2020
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| _version_ | 1876477755868053504 |
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| author | RICARDO P. BEAUSOLEIL |
| author_facet | RICARDO P. BEAUSOLEIL |
| contents | ASSOCIATIVE CLASSIFICATION WITH MULTIOBJECTIVE TABU SEARCH RICARDO P. BEAUSOLEIL Física, Astronomía y Matemáticas tabu search associative classification Combinatorial data analysis multiobjective optimization This paper presents an application of Tabu Search algorithm to association rule mining. We focus our attention specifically on classification rule mining, often called associative classification, where the consequent part of each rule is a class label. Our approach is based on seek a rule set handled as an individual. A Tabu search algorithm is used to search for Pareto-optimal rule sets with respect to some evaluation criteria such as accuracy and complexity. We apply a called Apriori algorithm for an association rules mining and then a multiobjective tabu search to a selection rules. We report experimental results where the effect of our multiobjective selection rules is examined for some well-known benchmark data sets from the UCI machine learning repository. 2020 artículo científico 1409-2433 https://www.redalyc.org/articulo.oa?id=45379177003 en http://www.redalyc.org/revista.oa?id=453 Revista de Matemática: Teoría y Aplicaciones application/pdf Universidad de Costa Rica Revista de Matemática: Teoría y Aplicaciones (Costa Rica) Num.2 Vol.27 |
| format | Artículo científico |
| id | redalyc_45379177003 |
| institution | Redalyc |
| language | en |
| publishDate | 2020 |
| publisher | Universidad de Costa Rica |
| spellingShingle | ASSOCIATIVE CLASSIFICATION WITH MULTIOBJECTIVE TABU SEARCH RICARDO P. BEAUSOLEIL Física, Astronomía y Matemáticas tabu search associative classification Combinatorial data analysis multiobjective optimization ASSOCIATIVE CLASSIFICATION WITH MULTIOBJECTIVE TABU SEARCH RICARDO P. BEAUSOLEIL Física, Astronomía y Matemáticas tabu search associative classification Combinatorial data analysis multiobjective optimization This paper presents an application of Tabu Search algorithm to association rule mining. We focus our attention specifically on classification rule mining, often called associative classification, where the consequent part of each rule is a class label. Our approach is based on seek a rule set handled as an individual. A Tabu search algorithm is used to search for Pareto-optimal rule sets with respect to some evaluation criteria such as accuracy and complexity. We apply a called Apriori algorithm for an association rules mining and then a multiobjective tabu search to a selection rules. We report experimental results where the effect of our multiobjective selection rules is examined for some well-known benchmark data sets from the UCI machine learning repository. 2020 artículo científico 1409-2433 https://www.redalyc.org/articulo.oa?id=45379177003 en http://www.redalyc.org/revista.oa?id=453 Revista de Matemática: Teoría y Aplicaciones application/pdf Universidad de Costa Rica Revista de Matemática: Teoría y Aplicaciones (Costa Rica) Num.2 Vol.27 |
| title | ASSOCIATIVE CLASSIFICATION WITH MULTIOBJECTIVE TABU SEARCH |
| topic | Física, Astronomía y Matemáticas tabu search associative classification Combinatorial data analysis multiobjective optimization |
| url | https://www.redalyc.org/articulo.oa?id=45379177003 |