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Mendeley readers
Chapter title |
Using Data Mining Techniques to Perform School Dropout Prediction: A Case Study
|
---|---|
Chapter number | 28 |
Book title |
17th International Conference on Information Technology–New Generations (ITNG 2020)
|
Published by |
Springer, Cham, January 2020
|
DOI | 10.1007/978-3-030-43020-7_28 |
Book ISBNs |
978-3-03-043019-1, 978-3-03-043020-7
|
Authors |
Renato Carauta Ribeiro, Edna Dias Canedo, Ribeiro, Renato Carauta, Canedo, Edna Dias |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 3 | 9% |
Student > Doctoral Student | 3 | 9% |
Lecturer | 3 | 9% |
Student > Master | 3 | 9% |
Researcher | 2 | 6% |
Other | 5 | 14% |
Unknown | 16 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 29% |
Engineering | 3 | 9% |
Business, Management and Accounting | 2 | 6% |
Social Sciences | 2 | 6% |
Unspecified | 1 | 3% |
Other | 0 | 0% |
Unknown | 17 | 49% |