Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules

作者：Alcala Fdez Jesus^*; Flugy Pape Nicolo; Bonarini Andrea; Herrera Francisco

来源：Fundamenta Informaticae, 2010, 98(1): 1-14.

DOI：10.3233/FI-2010-213

• Association Rules
• Data Mining
• Evolutionary Algorithms
• Genetic Algorithms

Data Mining is most commonly used in attempts to induce association rules fromtransaction 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.

• 出版日期2010