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Mendeley readers
Chapter title |
A Case Study on Student Attrition Prediction in Higher Education Using Data Mining Techniques
|
---|---|
Chapter number | 15 |
Book title |
Soft Computing in Data Science
|
Published by |
Springer, Singapore, August 2019
|
DOI | 10.1007/978-981-15-0399-3_15 |
Book ISBNs |
978-9-81-150398-6, 978-9-81-150399-3
|
Authors |
Syaidatus Syahira Ahmad Tarmizi, Sofianita Mutalib, Nurzeatul Hamimah Abdul Hamid, Shuzlina Abdul-Rahman, Ariff Md Ab Malik, Ahmad Tarmizi, Syaidatus Syahira, Mutalib, Sofianita, Abdul Hamid, Nurzeatul Hamimah, Abdul-Rahman, Shuzlina, Md Ab Malik, Ariff |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 6 | 16% |
Student > Postgraduate | 3 | 8% |
Lecturer > Senior Lecturer | 2 | 5% |
Student > Bachelor | 2 | 5% |
Student > Master | 2 | 5% |
Other | 6 | 16% |
Unknown | 17 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 24% |
Engineering | 5 | 13% |
Social Sciences | 3 | 8% |
Business, Management and Accounting | 2 | 5% |
Philosophy | 1 | 3% |
Other | 2 | 5% |
Unknown | 16 | 42% |