Educational Data Mining
Springer International Publishing
Title |
Educational Data Mining
|
---|---|
Published by |
Springer International Publishing, November 2013
|
DOI | 10.1007/978-3-319-02738-8 |
ISBNs |
978-3-31-902737-1, 978-3-31-902738-8, 978-3-31-934499-7
|
Editors |
Peña-Ayala, Alejandro |
Country | Count | As % |
---|---|---|
France | 1 | 50% |
Unknown | 1 | 50% |
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Country | Count | As % |
---|---|---|
Unknown | 96 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 11% |
Professor > Associate Professor | 5 | 5% |
Student > Ph. D. Student | 5 | 5% |
Student > Doctoral Student | 4 | 4% |
Student > Bachelor | 4 | 4% |
Other | 8 | 8% |
Unknown | 59 | 61% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 19% |
Economics, Econometrics and Finance | 3 | 3% |
Chemical Engineering | 2 | 2% |
Mathematics | 1 | 1% |
Nursing and Health Professions | 1 | 1% |
Other | 6 | 6% |
Unknown | 65 | 68% |