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Mendeley readers
Chapter title |
Predicting Fraudulent Financial Statements with Machine Learning Techniques
|
---|---|
Chapter number | 63 |
Book title |
Advances in Artificial Intelligence
|
Published by |
Springer, Berlin, Heidelberg, May 2006
|
DOI | 10.1007/11752912_63 |
Book ISBNs |
978-3-54-034117-8, 978-3-54-034118-5
|
Authors |
Sotiris Kotsiantis, Euaggelos Koumanakos, Dimitris Tzelepis, Vasilis Tampakas, Kotsiantis, Sotiris, Koumanakos, Euaggelos, Tzelepis, Dimitris, Tampakas, Vasilis |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 15% |
Student > Master | 6 | 13% |
Lecturer | 2 | 4% |
Professor | 2 | 4% |
Lecturer > Senior Lecturer | 2 | 4% |
Other | 6 | 13% |
Unknown | 23 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 8 | 17% |
Economics, Econometrics and Finance | 6 | 13% |
Computer Science | 6 | 13% |
Social Sciences | 4 | 8% |
Mathematics | 1 | 2% |
Other | 1 | 2% |
Unknown | 22 | 46% |