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Mendeley readers
Chapter title |
Efficient Student Profession Prediction Using XGBoost Algorithm
|
---|---|
Chapter number | 15 |
Book title |
Emerging Trends in Computing and Expert Technology
|
Published by |
Springer, Cham, March 2019
|
DOI | 10.1007/978-3-030-32150-5_15 |
Book ISBNs |
978-3-03-032149-9, 978-3-03-032150-5
|
Authors |
A. Vignesh, T. Yokesh Selvan, G. K. Gopala Krishnan, A. N. Sasikumar, V. D. Ambeth Kumar, Vignesh, A., Yokesh Selvan, T., Gopala Krishnan, G. K., Sasikumar, A. N., Ambeth Kumar, V. D. |
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 > Master | 3 | 18% |
Student > Ph. D. Student | 2 | 12% |
Professor | 1 | 6% |
Student > Bachelor | 1 | 6% |
Researcher | 1 | 6% |
Other | 0 | 0% |
Unknown | 9 | 53% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 24% |
Mathematics | 1 | 6% |
Economics, Econometrics and Finance | 1 | 6% |
Engineering | 1 | 6% |
Unknown | 10 | 59% |