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 |
Modeling Insurance Fraud Detection Using Imbalanced Data Classification
|
---|---|
Chapter number | 11 |
Book title |
Advances in Nature and Biologically Inspired Computing
|
Published by |
Springer, Cham, January 2016
|
DOI | 10.1007/978-3-319-27400-3_11 |
Book ISBNs |
978-3-31-927399-0, 978-3-31-927400-3
|
Authors |
Amira Kamil Ibrahim Hassan, Ajith Abraham, Hassan, Amira Kamil Ibrahim, Abraham, Ajith |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 62 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 18% |
Student > Ph. D. Student | 7 | 11% |
Student > Bachelor | 4 | 6% |
Researcher | 4 | 6% |
Professor | 3 | 5% |
Other | 9 | 15% |
Unknown | 24 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 21 | 34% |
Business, Management and Accounting | 4 | 6% |
Unspecified | 3 | 5% |
Economics, Econometrics and Finance | 3 | 5% |
Engineering | 2 | 3% |
Other | 3 | 5% |
Unknown | 26 | 42% |