Rough particle swarm optimization and its applications in data mining |
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Authors: | Bilal Alatas Erhan Akin |
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Affiliation: | (1) Department of Computer Engineering, Faculty of Engineering, Firat University, 23119 Elazig, Turkey |
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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. |
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Keywords: | Particle swarm optimization Rough value Numeric association rules mining |
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