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Mendeley readers
Chapter title |
An Adaptive Feature Dimensionality Reduction Technique Based on Random Forest on Employee Turnover Prediction Model
|
---|---|
Chapter number | 27 |
Book title |
Advances in Computing and Data Sciences
|
Published by |
Springer, Singapore, April 2018
|
DOI | 10.1007/978-981-13-1813-9_27 |
Book ISBNs |
978-9-81-131812-2, 978-9-81-131813-9
|
Authors |
Md. Kabirul Islam, Mirza Mohtashim Alam, Md. Baharul Islam, Karishma Mohiuddin, Amit Kishor Das, Md. Shamsul Kaonain, Islam, Md. Kabirul, Alam, Mirza Mohtashim, Islam, Md. Baharul, Mohiuddin, Karishma, Das, Amit Kishor, Kaonain, Md. Shamsul |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 19% |
Researcher | 2 | 10% |
Librarian | 1 | 5% |
Other | 1 | 5% |
Lecturer > Senior Lecturer | 1 | 5% |
Other | 4 | 19% |
Unknown | 8 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 19% |
Business, Management and Accounting | 3 | 14% |
Arts and Humanities | 1 | 5% |
Unspecified | 1 | 5% |
Social Sciences | 1 | 5% |
Other | 1 | 5% |
Unknown | 10 | 48% |