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Chapter title |
Ranking Outliers Using Symmetric Neighborhood Relationship
|
---|---|
Chapter number | 68 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Berlin, Heidelberg, April 2006
|
DOI | 10.1007/11731139_68 |
Book ISBNs |
978-3-54-033206-0, 978-3-54-033207-7
|
Authors |
Wen Jin, Anthony K. H. Tung, Jiawei Han, Wei Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | <1% |
Turkey | 1 | <1% |
Canada | 1 | <1% |
Australia | 1 | <1% |
Unknown | 97 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 28% |
Student > Master | 24 | 24% |
Researcher | 12 | 12% |
Student > Doctoral Student | 7 | 7% |
Student > Bachelor | 6 | 6% |
Other | 12 | 12% |
Unknown | 12 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 56 | 55% |
Engineering | 10 | 10% |
Business, Management and Accounting | 4 | 4% |
Agricultural and Biological Sciences | 3 | 3% |
Materials Science | 2 | 2% |
Other | 10 | 10% |
Unknown | 16 | 16% |