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Mendeley readers
| Title |
Customer Mobile Behavioral Segmentation and Analysis in Telecom Using Machine Learning
|
|---|---|
| Published in |
Applied Artificial Intelligence, January 2022
|
| DOI | 10.1080/08839514.2021.2009223 |
| Authors |
Eman Hussein Sharaf Addin, Novia Admodisastro, Siti Nur Syahirah Mohd Ashri, Azrina Kamaruddin, Yew Chew Chong |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 14% |
| Student > Ph. D. Student | 3 | 4% |
| Student > Doctoral Student | 2 | 3% |
| Student > Bachelor | 2 | 3% |
| Professor | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 46 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 17% |
| Business, Management and Accounting | 5 | 7% |
| Engineering | 2 | 3% |
| Environmental Science | 1 | 1% |
| Energy | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 47 | 68% |