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 |
Prediction of Financial Distress in Bangladesh’s Banking Sector Using Data Mining and Machine-Learning Technique
|
---|---|
Chapter number | 12 |
Book title |
Proceedings of International Joint Conference on Computational Intelligence
|
Published by |
Springer, Singapore, May 2020
|
DOI | 10.1007/978-981-15-3607-6_12 |
Book ISBNs |
978-9-81-153606-9, 978-9-81-153607-6
|
Authors |
Mohammed Mahmudur Rahman, Zinnia Sultana, Musrat Jahan, Ramis Fariha, Rahman, Mohammed Mahmudur, Sultana, Zinnia, Jahan, Musrat, Fariha, Ramis |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 18% |
Student > Doctoral Student | 1 | 9% |
Unspecified | 1 | 9% |
Unknown | 7 | 64% |
Readers by discipline | Count | As % |
---|---|---|
Economics, Econometrics and Finance | 2 | 18% |
Business, Management and Accounting | 1 | 9% |
Unspecified | 1 | 9% |
Unknown | 7 | 64% |