Capítulo de Libro
Analysis of Measures of Quantitative Association Rules
Autor/es | Martínez Ballesteros, María del Mar
Riquelme Santos, José Cristóbal |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2011 |
Fecha de depósito | 2016-06-14 |
Publicado en |
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ISBN/ISSN | 978-3-642-21221-5 0302-9743 |
Resumen | This paper presents the analysis of relationships among different
interestingness measures of quality of association rules as first step
to select the best objectives in order to develop a multi-objective algorithm.
For ... This paper presents the analysis of relationships among different interestingness measures of quality of association rules as first step to select the best objectives in order to develop a multi-objective algorithm. For this purpose, the discovering of association rules is based on evolutionary techniques. Specifically, a genetic algorithm has been used in order to mine quantitative association rules and determine the intervals on the attributes without discretizing the data before. The algorithm has been applied in real-word climatological datasets based on Ozone and Earthquake data. |
Agencias financiadoras | Ministerio de Ciencia y Tecnología (MCYT). España Junta de Andalucía |
Identificador del proyecto | TIN2007-68084-C-00
P07-TIC-02611 |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Analysis of measures.pdf | 231.8Kb | [PDF] | Ver/ | |