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Mendeley readers
Chapter title |
Predicting Students’ Academic Performance Using Utility Based Educational Data Mining
|
---|---|
Chapter number | 4 |
Book title |
Frontier Computing
|
Published by |
Springer, Singapore, May 2019
|
DOI | 10.1007/978-981-13-3648-5_4 |
Book ISBNs |
978-9-81-133647-8, 978-9-81-133648-5
|
Authors |
K. T. S. Kasthuriarachchi, S. R. Liyanage |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 21% |
Student > Ph. D. Student | 3 | 13% |
Student > Doctoral Student | 1 | 4% |
Lecturer | 1 | 4% |
Professor | 1 | 4% |
Other | 3 | 13% |
Unknown | 10 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 21% |
Engineering | 3 | 13% |
Arts and Humanities | 1 | 4% |
Economics, Econometrics and Finance | 1 | 4% |
Mathematics | 1 | 4% |
Other | 2 | 8% |
Unknown | 11 | 46% |