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X Demographics
Mendeley readers
Chapter title |
Data Mining for Financial Applications
|
---|---|
Chapter number | 57 |
Book title |
Data Mining and Knowledge Discovery Handbook
|
Published by |
Springer US, January 2005
|
DOI | 10.1007/0-387-25465-x_57 |
Book ISBNs |
978-0-387-24435-8, 978-0-387-25465-4
|
Authors |
Boris Kovalerchuk, Evgenii Vityaev |
Editors |
Oded Maimon, Lior Rokach |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 1 | 2% |
South Africa | 1 | 2% |
Unknown | 51 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 4% |
Student > Bachelor | 2 | 4% |
Student > Doctoral Student | 1 | 2% |
Researcher | 1 | 2% |
Student > Postgraduate | 1 | 2% |
Other | 0 | 0% |
Unknown | 46 | 87% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 11% |
Social Sciences | 1 | 2% |
Unknown | 46 | 87% |