Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Martínez-Ballesteros, M.a | Troncoso, A.b; * | Martínez-Álvarez, F.b | Riquelme, J. C.a
Affiliations: [a] Department of Computer Science, University of Seville, Seville, Spain | [b] Area of Computer Science, Pablo de Olavide University of Seville, Seville, Spain
Correspondence: [*] Corresponding author: A. Troncoso, Pablo de Olavide University of Seville, Ctra. Utrera, Km.1, 41013, Sevilla, Spain. Tel.: +34 95 4977522; Fax: +34 95 4348377; E-mail: [email protected].
Abstract: This research presents the mining of quantitative association rules based on evolutionary computation techniques. First, a real-coded genetic algorithm that extends the well-known binary-coded CHC algorithm has been projected to determine the intervals that define the rules without needing to discretize the attributes. The proposed algorithm is evaluated in synthetic datasets under different levels of noise in order to test its performance and the reported results are then compared to that of a multi-objective differential evolution algorithm, recently published. Furthermore, rules from real-world time series such as temperature, humidity, wind speed and direction of the wind, ozone, nitrogen monoxide and sulfur dioxide have been discovered with the objective of finding all existing relations between atmospheric pollution and climatological conditions.
Keywords: Data mining, evolutionary algorithms, quantitative association rules
DOI: 10.3233/ICA-2010-0340
Journal: Integrated Computer-Aided Engineering, vol. 17, no. 3, pp. 227-242, 2010
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]