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Mendeley readers
Chapter title |
Data Mining for Financial Applications
|
---|---|
Chapter number | 60 |
Book title |
Data Mining and Knowledge Discovery Handbook
|
Published in |
ADS, January 2009
|
DOI | 10.1007/978-0-387-09823-4_60 |
Book ISBNs |
978-0-387-09822-7, 978-0-387-09823-4
|
Authors |
Boris Kovalerchuk, Evgenii Vityaev |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 3% |
Indonesia | 1 | 1% |
Malaysia | 1 | 1% |
Italy | 1 | 1% |
Unknown | 74 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 24% |
Student > Master | 11 | 14% |
Student > Bachelor | 9 | 11% |
Researcher | 7 | 9% |
Professor | 5 | 6% |
Other | 13 | 16% |
Unknown | 15 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 35 | 44% |
Business, Management and Accounting | 9 | 11% |
Economics, Econometrics and Finance | 7 | 9% |
Engineering | 5 | 6% |
Mathematics | 4 | 5% |
Other | 4 | 5% |
Unknown | 15 | 19% |