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Mendeley readers
Chapter title |
Enhancing Effectiveness of Outlier Detections for Low Density Patterns
|
---|---|
Chapter number | 53 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Berlin, Heidelberg, May 2002
|
DOI | 10.1007/3-540-47887-6_53 |
Book ISBNs |
978-3-54-043704-8, 978-3-54-047887-4
|
Authors |
Jian Tang, Zhixiang Chen, Ada Wai-chee Fu, David W. Cheung |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | <1% |
Brazil | 1 | <1% |
United Kingdom | 1 | <1% |
Canada | 1 | <1% |
United States | 1 | <1% |
Unknown | 149 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 40 | 26% |
Student > Master | 36 | 23% |
Researcher | 13 | 8% |
Student > Doctoral Student | 7 | 5% |
Student > Bachelor | 7 | 5% |
Other | 15 | 10% |
Unknown | 36 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 71 | 46% |
Engineering | 18 | 12% |
Mathematics | 6 | 4% |
Business, Management and Accounting | 3 | 2% |
Physics and Astronomy | 2 | 1% |
Other | 11 | 7% |
Unknown | 43 | 28% |