mining and machine learning communities. It is usually tackled by using classification algorithms in order to learn the … different patterns of both the churners and non-churners. Nevertheless, current state-of-the-art classification algorithms are …-sensitive classification algorithms and measure their effectiveness based on their predictive power and also the cost optimization. The results …

mining and machine learning communities. It is usually tackled by using classification algorithms in order to learn the … different patterns of both the churners and non-churners. Nevertheless, current state-of-the-art classification algorithms are …-sensitive classification algorithms and measure their effectiveness based on their predictive power and also the cost optimization. The results …

. The output of this process is utilized by statistical classification procedures in order to derive the dependence of the …

this context. Finally, indirect encoding schemes for genetic algorithms are developed which follow the semiotic framework …

Recent work in classification indicates that significant improvements in accuracy can be obtained by growing an …

Recent work in classification indicates that significant improvements in accuracy can be obtained by growing an …