Rough particle swarm optimization and its applications in data mining

Authors:
Bilal Alatas;Erhan Akin
Affiliations:
Firat University, Department of Computer Engineering, Faculty of Engineering, 23119, Elazig, Turkey;Firat University, Department of Computer Engineering, Faculty of Engineering, 23119, Elazig, Turkey
Venue:
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue (1143 - 1198) " Distributed Bioinspired Algorithms"; Guest editors: F. Fernández de Vega, E. Cantú-Paz
Year:
2008

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Abstract

This paper proposes a novel particle swarm optimization algorithm, rough particle swarm optimization algorithm (RPSOA), based on the notion of rough patterns that use rough values defined with upper and lower intervals that represent a range or set of values. In this paper, various operators and evaluation measures that can be used in RPSOA have been described and efficiently utilized in data mining applications, especially in automatic mining of numeric association rules which is a hard problem.