You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
An Optimized Cost-Sensitive SVM for Imbalanced Data Learning
|
---|---|
Chapter number | 24 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published in |
Lecture notes in computer science, April 2013
|
DOI | 10.1007/978-3-642-37456-2_24 |
Book ISBNs |
978-3-64-237455-5, 978-3-64-237456-2
|
Authors |
Peng Cao, Dazhe Zhao, Osmar Zaiane |
Editors |
Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu |
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 % |
---|---|---|
Iran, Islamic Republic of | 1 | 1% |
Chile | 1 | 1% |
Unknown | 98 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 26 | 26% |
Student > Ph. D. Student | 18 | 18% |
Student > Bachelor | 9 | 9% |
Professor | 8 | 8% |
Researcher | 8 | 8% |
Other | 13 | 13% |
Unknown | 18 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 40 | 40% |
Engineering | 21 | 21% |
Mathematics | 4 | 4% |
Economics, Econometrics and Finance | 4 | 4% |
Business, Management and Accounting | 2 | 2% |
Other | 6 | 6% |
Unknown | 23 | 23% |