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http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/2391| Mining frequent patterns and association rules using similarities | |
| ANSEL YOAN RODRIGUEZ GONZALEZ José Francisco Martínez Trinidad Jesús Ariel Carrasco Ochoa | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| Data mining Frequent patterns Association rules Mixed data Similarity functions Downward closure property | |
| Most of the current algorithms for mining association rules assume that two object subdescriptions are similar when they are exactly equal, but in many real world problems some other similarity functions are used. Commonly these algorithms are divided in two steps: Frequent pattern mining and generation of interesting association rules from frequent patterns. In this work, two algorithms for mining frequent similar patterns using similarity functions different from the equality are proposed. Additionally, the Gen- Rules Algorithm is adapted to generate interesting association rules from frequent similar patterns. Experimental results show that our algorithms are more effective and obtain better quality patterns than the existing ones. | |
| Elsevier Ltd. | |
| 2013 | |
| Artículo | |
| Inglés | |
| Estudiantes Investigadores Público en general | |
| Rodríguez, A., et al., (2013). Mining frequent patterns and association rules using similarities, Expert Systems with Applications, Vol. 2013 (40): 6823-6836 | |
| CIENCIA DE LOS ORDENADORES | |
| Versión aceptada | |
| acceptedVersion - Versión aceptada | |
| Aparece en las colecciones: | Artículos de Ciencias Computacionales |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| 207. Mining Frequent Patterns and Association Rules using Similarities.pdf | 2.62 MB | Adobe PDF | Visualizar/Abrir |