Predicting Telecommunication Customer Churn Using Data Mining Techniques

Diana AlOmari, Mohammad Mehedi Hassan. Predicting Telecommunication Customer Churn Using Data Mining Techniques. In Wenfeng Li, Shawkat Ali, Gabriël Lodewijks, Giancarlo Fortino, Giuseppe Di Fatta, Zhouping Yin, Mukaddim Pathan, Antonio Guerrieri, Qiang Wang, editors, Internet and Distributed Computing Systems - 9th International Conference, IDCS 2016, Wuhan, China, September 28-30, 2016, Proceedings. Volume 9864 of Lecture Notes in Computer Science, pages 167-178, Springer, 2016. [doi]

@inproceedings{AlOmariH16,
  title = {Predicting Telecommunication Customer Churn Using Data Mining Techniques},
  author = {Diana AlOmari and Mohammad Mehedi Hassan},
  year = {2016},
  doi = {10.1007/978-3-319-45940-0_15},
  url = {http://dx.doi.org/10.1007/978-3-319-45940-0_15},
  researchr = {https://researchr.org/publication/AlOmariH16},
  cites = {0},
  citedby = {0},
  pages = {167-178},
  booktitle = {Internet and Distributed Computing Systems - 9th International Conference, IDCS 2016, Wuhan, China, September 28-30, 2016, Proceedings},
  editor = {Wenfeng Li and Shawkat Ali and Gabriël Lodewijks and Giancarlo Fortino and Giuseppe Di Fatta and Zhouping Yin and Mukaddim Pathan and Antonio Guerrieri and Qiang Wang},
  volume = {9864},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-45939-4},
}