| Title |
Mining outlying aspects on numeric data
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, January 2015
|
| DOI | 10.1007/s10618-014-0398-2 |
| Authors |
Lei Duan, Guanting Tang, Jian Pei, James Bailey, Akiko Campbell, Changjie Tang |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Unknown | 42 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 28% |
| Student > Ph. D. Student | 11 | 26% |
| Researcher | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 8 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 56% |
| Engineering | 5 | 12% |
| Environmental Science | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 9 | 21% |