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Mendeley readers
Chapter title |
Predictive Model of Graduate-On-Time Using Machine Learning Algorithms
|
---|---|
Chapter number | 11 |
Book title |
Soft Computing in Data Science
|
Published by |
Springer, Singapore, August 2019
|
DOI | 10.1007/978-981-15-0399-3_11 |
Book ISBNs |
978-9-81-150398-6, 978-9-81-150399-3
|
Authors |
Nurafifah Mohammad Suhaimi, Shuzlina Abdul-Rahman, Sofianita Mutalib, Nurzeatul Hamimah Abdul Hamid, Ariff Md Ab Malik, Mohammad Suhaimi, Nurafifah, Abdul-Rahman, Shuzlina, Mutalib, Sofianita, Abdul Hamid, Nurzeatul Hamimah, Md Ab Malik, Ariff |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 49 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 16% |
Lecturer | 6 | 12% |
Student > Ph. D. Student | 5 | 10% |
Lecturer > Senior Lecturer | 2 | 4% |
Researcher | 2 | 4% |
Other | 2 | 4% |
Unknown | 24 | 49% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 29% |
Business, Management and Accounting | 4 | 8% |
Mathematics | 2 | 4% |
Engineering | 2 | 4% |
Social Sciences | 1 | 2% |
Other | 1 | 2% |
Unknown | 25 | 51% |