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Mendeley readers
Chapter title |
Analyses and Detection of Health Insurance Fraud Using Data Mining and Predictive Modeling Techniques
|
---|---|
Chapter number | 5 |
Book title |
Soft Computing: Theories and Applications
|
Published by |
Springer, Singapore, January 2018
|
DOI | 10.1007/978-981-10-5699-4_5 |
Book ISBNs |
978-9-81-105698-7, 978-9-81-105699-4
|
Authors |
Pallavi Pandey, Anil Saroliya, Raushan Kumar |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 24% |
Lecturer | 2 | 5% |
Student > Bachelor | 2 | 5% |
Researcher | 2 | 5% |
Student > Ph. D. Student | 2 | 5% |
Other | 4 | 11% |
Unknown | 16 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 30% |
Engineering | 4 | 11% |
Business, Management and Accounting | 3 | 8% |
Social Sciences | 3 | 8% |
Economics, Econometrics and Finance | 1 | 3% |
Other | 0 | 0% |
Unknown | 15 | 41% |