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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% |