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Timeline
Mendeley readers
Chapter title |
Random Forest Missing Data Imputation Methods: Implications for Predicting At-Risk Students
|
---|---|
Chapter number | 29 |
Book title |
Intelligent Systems Design and Applications
|
Published by |
Springer, Cham, December 2019
|
DOI | 10.1007/978-3-030-49342-4_29 |
Book ISBNs |
978-3-03-049341-7, 978-3-03-049342-4
|
Authors |
Bevan I. Smith, Charles Chimedza, Jacoba H. Bührmann |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 18% |
Unspecified | 1 | 9% |
Student > Doctoral Student | 1 | 9% |
Lecturer > Senior Lecturer | 1 | 9% |
Professor | 1 | 9% |
Other | 1 | 9% |
Unknown | 4 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 1 | 9% |
Environmental Science | 1 | 9% |
Mathematics | 1 | 9% |
Computer Science | 1 | 9% |
Materials Science | 1 | 9% |
Other | 1 | 9% |
Unknown | 5 | 45% |