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Mendeley readers
Chapter title |
Learning from Imbalanced Data in Presence of Noisy and Borderline Examples
|
---|---|
Chapter number | 18 |
Book title |
Rough Sets and Current Trends in Computing
|
Published by |
Springer, Berlin, Heidelberg, June 2010
|
DOI | 10.1007/978-3-642-13529-3_18 |
Book ISBNs |
978-3-64-213528-6, 978-3-64-213529-3
|
Authors |
Krystyna Napierała, Jerzy Stefanowski, Szymon Wilk |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Poland | 2 | 2% |
Croatia | 1 | 1% |
United States | 1 | 1% |
Germany | 1 | 1% |
Unknown | 95 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 30 | 30% |
Student > Ph. D. Student | 24 | 24% |
Researcher | 12 | 12% |
Student > Bachelor | 6 | 6% |
Student > Doctoral Student | 4 | 4% |
Other | 13 | 13% |
Unknown | 11 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 57 | 57% |
Engineering | 9 | 9% |
Mathematics | 4 | 4% |
Business, Management and Accounting | 2 | 2% |
Decision Sciences | 2 | 2% |
Other | 8 | 8% |
Unknown | 18 | 18% |