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Mendeley readers
| Chapter title |
Classification
|
|---|---|
| Chapter number | 2 |
| Book title |
Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods
|
| Published by |
Springer, Cham, January 2019
|
| DOI | 10.1007/978-3-030-04663-7_2 |
| Book ISBNs |
978-3-03-004662-0, 978-3-03-004663-7
|
| Authors |
Sarah Vluymans |
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 > Master | 4 | 17% |
| Student > Bachelor | 4 | 17% |
| Researcher | 3 | 13% |
| Lecturer | 2 | 8% |
| Student > Doctoral Student | 2 | 8% |
| Other | 3 | 13% |
| Unknown | 6 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 29% |
| Computer Science | 5 | 21% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Social Sciences | 2 | 8% |
| Business, Management and Accounting | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 6 | 25% |