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Mendeley readers
Chapter title |
Predicting Telecommunication Customer Churn Using Data Mining Techniques
|
---|---|
Chapter number | 15 |
Book title |
Internet and Distributed Computing Systems
|
Published by |
Springer International Publishing, September 2016
|
DOI | 10.1007/978-3-319-45940-0_15 |
Book ISBNs |
978-3-31-945939-4, 978-3-31-945940-0
|
Authors |
Diana AlOmari, Mohammad Mehedi Hassan |
Editors |
Wenfeng Li, Shawkat Ali, Gabriel Lodewijks, Giancarlo Fortino, Giuseppe Di Fatta, Zhouping Yin, Mukaddim Pathan, Antonio Guerrieri, Qiang Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 19% |
Student > Master | 5 | 16% |
Student > Postgraduate | 3 | 10% |
Student > Bachelor | 2 | 6% |
Professor | 1 | 3% |
Other | 3 | 10% |
Unknown | 11 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 23% |
Engineering | 4 | 13% |
Business, Management and Accounting | 2 | 6% |
Social Sciences | 2 | 6% |
Energy | 1 | 3% |
Other | 3 | 10% |
Unknown | 12 | 39% |