A Study on Mobile Customer Churn Based on Learning from Soft Label Proportions

Kaili Lu, Xingqiu Zhao, Bo Wang. A Study on Mobile Customer Churn Based on Learning from Soft Label Proportions. In Enrique Herrera-Viedma, Yong Shi, Daniel Berg, James M. Tien, Francisco Javier Cabrerizo, Jianping Li 0001, editors, Proceedings of the 7th International Conference on Information Technology and Quantitative Management, ITQM 2019, Information Technology and Quantitative Management based on Artificial Intelligence, November 3-6, 2019, Granada, Spain. Volume 162 of Procedia Computer Science, pages 413-420, Elsevier, 2019. [doi]

@inproceedings{LuZW19-3,
  title = {A Study on Mobile Customer Churn Based on Learning from Soft Label Proportions},
  author = {Kaili Lu and Xingqiu Zhao and Bo Wang},
  year = {2019},
  doi = {10.1016/j.procs.2019.12.005},
  url = {https://doi.org/10.1016/j.procs.2019.12.005},
  researchr = {https://researchr.org/publication/LuZW19-3},
  cites = {0},
  citedby = {0},
  pages = {413-420},
  booktitle = {Proceedings of the 7th International Conference on Information Technology and Quantitative Management, ITQM 2019, Information Technology and Quantitative Management based on Artificial Intelligence, November 3-6, 2019, Granada, Spain},
  editor = {Enrique Herrera-Viedma and Yong Shi and Daniel Berg and James M. Tien and Francisco Javier Cabrerizo and Jianping Li 0001},
  volume = {162},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}