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Mendeley readers
Chapter title |
Credit Card Fraud Detection Using Enhanced Random Forest Classifier for Imbalanced Data
|
---|---|
Chapter number | 48 |
Book title |
Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23)
|
Published by |
Springer, Cham, January 2023
|
DOI | 10.1007/978-3-031-33743-7_48 |
Book ISBNs |
978-3-03-133742-0, 978-3-03-133743-7
|
Authors |
Aburbeian, AlsharifHasan Mohamad, Ashqar, Huthaifa I. |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 2 | 7% |
Professor | 2 | 7% |
Other | 1 | 3% |
Lecturer | 1 | 3% |
Student > Ph. D. Student | 1 | 3% |
Other | 2 | 7% |
Unknown | 20 | 69% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 24% |
Mathematics | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Economics, Econometrics and Finance | 1 | 3% |
Unknown | 19 | 66% |