You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
On Detecting Clustered Anomalies Using SCiForest
|
---|---|
Chapter number | 18 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer, Berlin, Heidelberg, September 2010
|
DOI | 10.1007/978-3-642-15883-4_18 |
Book ISBNs |
978-3-64-215882-7, 978-3-64-215883-4
|
Authors |
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou, Liu, Fei Tony, Ting, Kai Ming, Zhou, Zhi-Hua |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Poland | 1 | 1% |
Australia | 1 | 1% |
Unknown | 87 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 24 | 27% |
Student > Master | 13 | 14% |
Researcher | 8 | 9% |
Student > Bachelor | 5 | 6% |
Professor | 5 | 6% |
Other | 10 | 11% |
Unknown | 25 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 43 | 48% |
Engineering | 7 | 8% |
Economics, Econometrics and Finance | 2 | 2% |
Chemical Engineering | 1 | 1% |
Business, Management and Accounting | 1 | 1% |
Other | 6 | 7% |
Unknown | 30 | 33% |