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Mendeley readers
| Title |
On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, October 2003
|
| DOI | 10.1023/a:1024988512476 |
| Authors |
Eamonn Keogh, Shruti Kasetty |
Mendeley readers
The data shown below were compiled from readership statistics for 497 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | <1% |
| Germany | 3 | <1% |
| France | 2 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| Belgium | 1 | <1% |
| Malaysia | 1 | <1% |
| Spain | 1 | <1% |
| China | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 480 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 49 | 10% |
| Student > Master | 32 | 6% |
| Student > Doctoral Student | 17 | 3% |
| Researcher | 12 | 2% |
| Student > Bachelor | 11 | 2% |
| Other | 22 | 4% |
| Unknown | 354 | 71% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 73 | 15% |
| Engineering | 28 | 6% |
| Business, Management and Accounting | 7 | 1% |
| Mathematics | 6 | 1% |
| Earth and Planetary Sciences | 3 | <1% |
| Other | 20 | 4% |
| Unknown | 360 | 72% |