Title :
A novel two level evolutionary approach For classification rules extraction
Author :
Baba-ali, Ahmed Riadh
Author_Institution :
LRPE Lab., Univ. of Sci. & Technol. Houari Boumediene, Algiers
Abstract :
In this paper, we present a description of our research in the field of data mining. We describe a two level hybrid evolutionary approach for classification rule extraction. Our method is a mix of two classic approaches called respectively Michigan and Pittsburg approaches. The goal is to take advantage of both approaches while minimising their drawbacks. The result has been compared favourably to classical approaches.
Keywords :
data mining; evolutionary computation; pattern classification; classification rules extraction; data mining; hybrid evolutionary approach; two level evolutionary approach; Data mining; Databases; Evolutionary computation; Genetic algorithms; Humans; Laboratories; Neural networks; Predictive models; Robustness; Testing; Knowledge extraction; classification; data mining; evolutionary algorithms; hybrid metaheuristic;
Conference_Titel :
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-2958-5
Electronic_ISBN :
978-1-4244-2959-2
DOI :
10.1109/CEC.2009.4983364
