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Mendeley readers
Chapter title |
Prediction for Student Academic Performance Using SMNaive Bayes Model
|
---|---|
Chapter number | 52 |
Book title |
Advanced Data Mining and Applications
|
Published by |
Springer, Cham, November 2019
|
DOI | 10.1007/978-3-030-35231-8_52 |
Book ISBNs |
978-3-03-035230-1, 978-3-03-035231-8
|
Authors |
Baoting Jia, Ke Niu, Xia Hou, Ning Li, Xueping Peng, Peipei Gu, Ran Jia, Jia, Baoting, Niu, Ke, Hou, Xia, Li, Ning, Peng, Xueping, Gu, Peipei, Jia, Ran |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 3 | 12% |
Student > Ph. D. Student | 2 | 8% |
Researcher | 2 | 8% |
Student > Master | 2 | 8% |
Student > Doctoral Student | 1 | 4% |
Other | 0 | 0% |
Unknown | 16 | 62% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 19% |
Social Sciences | 2 | 8% |
Mathematics | 1 | 4% |
Engineering | 1 | 4% |
Unknown | 17 | 65% |