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Mendeley readers
Chapter title |
Handling Imbalanced Data in Churn Prediction Using RUSBoost and Feature Selection (Case Study: PT.Telekomunikasi Indonesia Regional 7)
|
---|---|
Chapter number | 38 |
Book title |
Recent Advances on Soft Computing and Data Mining
|
Published by |
Springer International Publishing, December 2016
|
DOI | 10.1007/978-3-319-51281-5_38 |
Book ISBNs |
978-3-31-951279-2, 978-3-31-951281-5
|
Authors |
Erna Dwiyanti, Adiwijaya, Arie Ardiyanti |
Editors |
Tutut Herawan, Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 24% |
Researcher | 2 | 12% |
Other | 1 | 6% |
Student > Bachelor | 1 | 6% |
Lecturer | 1 | 6% |
Other | 2 | 12% |
Unknown | 6 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 24% |
Engineering | 2 | 12% |
Economics, Econometrics and Finance | 1 | 6% |
Business, Management and Accounting | 1 | 6% |
Unknown | 9 | 53% |