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Mendeley readers
| Chapter title |
Applications of Data Mining to Electronic Commerce
|
|---|---|
| Chapter number | 1 |
| Book title |
Applications of Data Mining to Electronic Commerce
|
| Published by |
Springer US, January 2001
|
| DOI | 10.1007/978-1-4615-1627-9_1 |
| Book ISBNs |
978-1-4613-5648-6, 978-1-4615-1627-9
|
| Authors |
Ron Kohavi, Foster Provost |
| Editors |
Ron Kohavi, Foster Provost |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| United Kingdom | 2 | 2% |
| Germany | 1 | 1% |
| Kenya | 1 | 1% |
| Brazil | 1 | 1% |
| Portugal | 1 | 1% |
| Taiwan | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 79 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 29% |
| Student > Ph. D. Student | 14 | 16% |
| Student > Bachelor | 13 | 14% |
| Researcher | 8 | 9% |
| Professor > Associate Professor | 6 | 7% |
| Other | 11 | 12% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 43 | 48% |
| Business, Management and Accounting | 13 | 14% |
| Social Sciences | 5 | 6% |
| Economics, Econometrics and Finance | 3 | 3% |
| Engineering | 2 | 2% |
| Other | 12 | 13% |
| Unknown | 12 | 13% |