| Title |
Information-theoretic term weighting schemes for document clustering and classification
|
|---|---|
| Published in |
International Journal on Digital Libraries, July 2014
|
| DOI | 10.1007/s00799-014-0121-3 |
| Authors |
Weimao Ke |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 7% |
| Unknown | 13 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 21% |
| Student > Ph. D. Student | 3 | 21% |
| Other | 1 | 7% |
| Lecturer | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Other | 3 | 21% |
| Unknown | 2 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 50% |
| Agricultural and Biological Sciences | 1 | 7% |
| Business, Management and Accounting | 1 | 7% |
| Social Sciences | 1 | 7% |
| Engineering | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 21% |