Research of indicator system in customer churn prediction for telecom industry

Qiu, Yihui; Chiyu, Zhang

doi:10.1109/iccse.2016.7581567

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Studies Of Churn Analysis In Telecommunication Industry1

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Cited by 6 publications

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“…In their study, Yihui and Chiyu have stated that they have developed a feature extraction method, called FE_RF&T, and a variable/feature selection method, called OOPM. They found that the OOPM method, which has been used for feature selection, has advantageous compared to the Random Forest method, and that the FR_RF&T method has been more successful compared to the PCA method, according to the results of applying the proposed model on a sample data set including 16920 records with 22 variables, provided by the China Mobile Corp. (Yihui 2016).…”

Section: Studies Of Churn Analysis In Telecommunication Industrymentioning

confidence: 99%

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Kayaalp

2017

KSEJ

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companies are provided by the payments made by these customers periodically. It is very important to be able to keep customers satisfied in order to be able to sustain this revenue with the least expenditure cost. The objectives of this study are: • Reviewing the relevant studies about churn analysis on telecommunications industry presented in the last five years, particularly in the last two years, and introducing these up-to-date studies in the literature, • Determining the data mining methods frequently used in churn implementations, • Shedding a light on methods that can be used in further studies.

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Section: Studies Of Churn Analysis In Telecommunication Industrymentioning

confidence: 99%