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 |
Credit Risk Evaluation with Least Square Support Vector Machine
|
---|---|
Chapter number | 71 |
Book title |
Rough Sets and Knowledge Technology
|
Published by |
Springer, Berlin, Heidelberg, July 2006
|
DOI | 10.1007/11795131_71 |
Book ISBNs |
978-3-54-036297-5, 978-3-54-036299-9
|
Authors |
Kin Keung Lai, Lean Yu, Ligang Zhou, Shouyang Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 3 | 3% |
Unknown | 115 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 62 | 53% |
Student > Postgraduate | 11 | 9% |
Student > Ph. D. Student | 9 | 8% |
Student > Bachelor | 4 | 3% |
Lecturer | 3 | 3% |
Other | 9 | 8% |
Unknown | 20 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 71 | 60% |
Business, Management and Accounting | 7 | 6% |
Economics, Econometrics and Finance | 6 | 5% |
Engineering | 4 | 3% |
Arts and Humanities | 3 | 3% |
Other | 7 | 6% |
Unknown | 20 | 17% |