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 Efficient Study of Fraud Detection System Using Ml Techniques
|
---|---|
Chapter number | 8 |
Book title |
Intelligent Computing and Innovation on Data Science
|
Published by |
Springer, Singapore, January 2020
|
DOI | 10.1007/978-981-15-3284-9_8 |
Book ISBNs |
978-9-81-153283-2, 978-9-81-153284-9
|
Authors |
S. Josephine Isabella, Sujatha Srinivasan, G. Suseendran, Kannan, M., Priya, C., William Mary, L., Madhan, S., Sri Priya, V. |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 14% |
Student > Master | 2 | 6% |
Student > Bachelor | 2 | 6% |
Student > Doctoral Student | 1 | 3% |
Lecturer | 1 | 3% |
Other | 5 | 14% |
Unknown | 19 | 54% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 11% |
Engineering | 3 | 9% |
Business, Management and Accounting | 2 | 6% |
Social Sciences | 2 | 6% |
Nursing and Health Professions | 1 | 3% |
Other | 4 | 11% |
Unknown | 19 | 54% |