Corpus ID: 15399724

Predicting Near-Future Churners and Win-Backs in the Telecommunications Industry

@article{Phua2012PredictingNC,
  title={Predicting Near-Future Churners and Win-Backs in the Telecommunications Industry},
  author={Clifton Phua and Hong Cao and Jo{\~a}o B{\'a}rtolo Gomes and Minh Nhut Nguyen},
  journal={ArXiv},
  year={2012},
  volume={abs/1210.6891}
}
  • Clifton Phua, Hong Cao, +1 author Minh Nhut Nguyen
  • Published in ArXiv 2012
  • Mathematics, Computer Science
  • In this work, we presented the strategies and techniques that we have developed for predicting the near-future churners and win-backs for a telecom company. On a large-scale and real-world database containing customer profiles and some transaction data from a telecom company, we first analyzed the data schema, developed feature computation strategies and then extracted a large set of relevant features that can be associated with the customer churning and returning behaviors. Our features… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Figures, Tables, and Topics from this paper.

    Citations

    Publications citing this paper.
    SHOWING 1-9 OF 9 CITATIONS

    Databases Theory and Applications

    VIEW 7 EXCERPTS
    CITES BACKGROUND & METHODS
    HIGHLY INFLUENCED

    A Survey of Evolution in Predictive Models and Impacting Factors in Customer Churn

    VIEW 3 EXCERPTS
    CITES BACKGROUND
    HIGHLY INFLUENCED

    Telco Churn Prediction with Big Data

    VIEW 4 EXCERPTS
    CITES RESULTS & BACKGROUND
    HIGHLY INFLUENCED

    Context Aware Telco Churn Prediction Powered By Temporal Feature Engineering

    VIEW 2 EXCERPTS
    CITES METHODS & BACKGROUND

    Determining Economic Growth with Trade Flow Analytics

    VIEW 2 EXCERPTS
    CITES BACKGROUND

    MCS: Multiple classifier system to predict the churners in the telecom industry

    VIEW 2 EXCERPTS
    CITES METHODS & BACKGROUND

    Differential Privacy in Telco Big Data Platform

    VIEW 1 EXCERPT
    CITES BACKGROUND

    References

    Publications referenced by this paper.
    SHOWING 1-5 OF 5 REFERENCES

    Predicting customer churn in the telecommunications industry – an application of survival analysis modeling using SAS®

    • J. Lu
    • SAS User Group International (SUGI27) Online Proceedings, pp. 114-127.
    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Data mining in churn analysis model for telecommunication industry

    • K. B. Oseman, S.B.M. Shukor
    • Proc. the Regional Conference on Statistical Sciences (RCSS’10), 215-223, 2010.
    • 2010
    VIEW 3 EXCERPTS

    Learning from Imbalanced Data

    VIEW 2 EXCERPTS