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Mendeley readers
Chapter title |
A Machine Learning Approach to Analyze and Reduce Features to a Significant Number for Employee’s Turn Over Prediction Model
|
---|---|
Chapter number | 11 |
Book title |
Intelligent Computing
|
Published by |
Springer, Cham, November 2018
|
DOI | 10.1007/978-3-030-01177-2_11 |
Book ISBNs |
978-3-03-001176-5, 978-3-03-001177-2
|
Authors |
Mirza Mohtashim Alam, Karishma Mohiuddin, Md. Kabirul Islam, Mehedi Hassan, Md. Arshad-Ul Hoque, Shaikh Muhammad Allayear, Alam, Mirza Mohtashim, Mohiuddin, Karishma, Islam, Md. Kabirul, Hassan, Mehedi, Hoque, Md. Arshad-Ul, Allayear, Shaikh Muhammad |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 4 | 15% |
Researcher | 3 | 12% |
Student > Bachelor | 3 | 12% |
Student > Ph. D. Student | 2 | 8% |
Student > Master | 2 | 8% |
Other | 2 | 8% |
Unknown | 10 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 27% |
Unspecified | 4 | 15% |
Business, Management and Accounting | 3 | 12% |
Social Sciences | 1 | 4% |
Unknown | 11 | 42% |