کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
383395 660820 2012 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Uniformly subsampled ensemble (USE) for churn management: Theory and implementation
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Uniformly subsampled ensemble (USE) for churn management: Theory and implementation
چکیده انگلیسی

The present paper explores the possible application of a new ensemble model. The model, which is based on multiple SVM classifiers, is employed to address churner identification problems in the mobile telecommunication industry, a sector in which the role of customer retention program becomes increasingly important due to its very competitive business environment. In particular, the current study introduces a uniformly subsampled ensemble (USE) model of SVM classifiers, not only to reduce the computational complexity of large-scale data, but also to boost the reliability and accuracy of calibrated models on data sets with highly skewed class distributions. According to our experiments, the performance of the USE SVM model is superior compared to all single and ensemble models. It is more scalable than well-known ensemble models as well.


► We propose a novel ensemble method for classifiers using uniform subsamples.
► The method can significantly enhance the churn prediction performance.
► It showed better performance than single or other ensemble models.
► Reliability and accuracy are improved for highly skewed data sets.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 39, Issue 15, 1 November 2012, Pages 11839–11845
نویسندگان
, , , ,