Telco Churn Prediction with Big Data-Reference-Cited by-同舟云学术

Telco Churn Prediction with Big Data

Published:2015-05-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data
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Author:

Huang Yiqing¹,Zhu Fangzhou¹,Yuan Mingxuan²,Deng Ke²,Li Yanhua²,Ni Bing²,Dai Wenyuan²,Yang Qiang²,Zeng Jia³

Affiliation:

1. School of Computer Science and Technology, Soochow University, Suzhou 215006, China, Suzhou, China

2. Huawei Noah's Ark Lab, Hong Kong, Hong Kong, Hong Kong

3. School of Computer Science and Technology, Soochow University, Suzhou 215006, China & Huawei Noah's Ark Lab, Hong Kong, Suzhou & Hong Kong, China

Funder

National Grant Fundamental Research (973 Program) of China

National Natural Science Foundation of China

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

Hong Kong RGC project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2723372.2742794

Reference40 articles.

1. A survey on data mining techniques in customer churn analysis for telecom industry;Almana A. M.;Journal of Engineering Research and Applications,2014

2. A novel evolutionary data mining algorithm with applications to churn prediction

3. binti Mohd Shukor, N. A. Haris, and F. bin Abu Bakar. Data mining in churn analysis model for telecommunication industry;Oseman K.;Journal of Statistical Modeling and Analytics,2010

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