1. Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules.
- Author
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Alcala-Fdez, Jesus, Bonarini, Andrea, Flugy-Pape, Nicolo, and Herrera, Francisco
- Subjects
GENETIC algorithms ,ASSOCIATION rule mining ,DATA mining ,ALGORITHMS ,COMBINATORIAL optimization - Abstract
DataMining is most commonly used in attempts to induce association rules from transaction data which can help decision-makers easily analyze the data and make good decisions regarding the domains concerned. Most conventional studies are focused on binary or discrete-valued transaction data, however the data in real-world applications usually consists of quantitative values. In the last years, many researches have proposed Genetic Algorithms for mining interesting association rules from quantitative data. In this paper, we present a study of three genetic association rules extraction methods to show their effectiveness for mining quantitative association rules. Experimental results over two real-world databases are showed. [ABSTRACT FROM AUTHOR]
- Published
- 2010
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