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Telco Churn Prediction with Big Data

Overview of attention for article published in this source, May 2015
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8 X users

Citations

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Readers on

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173 Mendeley
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1 CiteULike
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Title
Telco Churn Prediction with Big Data
Published by
Association for Computing Machinery (ACM), May 2015
DOI 10.1145/2723372.2742794
Authors

Yiqing Huang, Fangzhou Zhu, Mingxuan Yuan, Ke Deng, Yanhua Li, Bing Ni, Wenyuan Dai, Qiang Yang, Jia Zeng

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
India 1 <1%
Unknown 171 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 45 26%
Student > Ph. D. Student 24 14%
Researcher 14 8%
Student > Bachelor 13 8%
Student > Postgraduate 7 4%
Other 21 12%
Unknown 49 28%
Readers by discipline Count As %
Computer Science 70 40%
Business, Management and Accounting 18 10%
Engineering 15 9%
Economics, Econometrics and Finance 3 2%
Social Sciences 3 2%
Other 8 5%
Unknown 56 32%