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Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules.
- Source :
-
Fundamenta Informaticae . 2010, Vol. 98 Issue 1, p1-14. 14p. 3 Charts, 2 Graphs. - Publication Year :
- 2010
-
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]
Details
- Language :
- English
- ISSN :
- 01692968
- Volume :
- 98
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Fundamenta Informaticae
- Publication Type :
- Academic Journal
- Accession number :
- 48578584
- Full Text :
- https://doi.org/10.3233/FI-2010-213