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  • A multi-population genetic algorithm for inducing balanced decision trees on telecommunications churn data
    Podgorelec, Vili, 1972- ; Karakatič, Sašo
    In this paper we present a new approach to predicting telecommunications churn. Churn prediction can be considered as a multi-objective optimization problem, where the accuracy of predicting both ... churning and staying consumers need to be optimized simultaneously. As the existing classification methods failed to produce balanced solutions, we developed a new multi-population genetic algorithm for the induction of decision trees. By introducing multiplepopulations, linear ranking selection and adequate fitness function wewere able to avoid overly biased solutions. The evaluation results of our algorithmʼs performance in comparison with the existing methods show that it was able to find highly accurate and balanced solutions.
    Source: Elektronika ir elektrotechnika = Electronics and electrical engineering = Elektronika i èlektrotehnika. - ISSN 1392-1215 (Vol. 19, no. 6, 2013, str. 121-124)
    Type of material - article, component part ; adult, serious
    Publish date - 2013
    Language - english
    COBISS.SI-ID - 16972310
    DOI

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