You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
A Data Mining Approach to Predict Academic Performance of Students Using Ensemble Techniques
|
---|---|
Chapter number | 70 |
Book title |
Intelligent Systems Design and Applications
|
Published by |
Springer, Cham, December 2018
|
DOI | 10.1007/978-3-030-16657-1_70 |
Book ISBNs |
978-3-03-016656-4, 978-3-03-016657-1
|
Authors |
Samuel-Soma M. Ajibade, Nor Bahiah Ahmad, Siti Mariyam Shamsuddin, Ajibade, Samuel-Soma M., Ahmad, Nor Bahiah, Shamsuddin, Siti Mariyam |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 61 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 10 | 16% |
Student > Master | 7 | 11% |
Student > Bachelor | 6 | 10% |
Professor | 4 | 7% |
Student > Ph. D. Student | 4 | 7% |
Other | 9 | 15% |
Unknown | 21 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 27 | 44% |
Engineering | 4 | 7% |
Social Sciences | 3 | 5% |
Business, Management and Accounting | 2 | 3% |
Nursing and Health Professions | 1 | 2% |
Other | 3 | 5% |
Unknown | 21 | 34% |