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 |
A Fast Greedy Algorithm for Outlier Mining
|
---|---|
Chapter number | 67 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Berlin, Heidelberg, April 2006
|
DOI | 10.1007/11731139_67 |
Book ISBNs |
978-3-54-033206-0, 978-3-54-033207-7
|
Authors |
Zengyou He, Shengchun Deng, Xiaofei Xu, Joshua Zhexue Huang |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
United States | 1 | 3% |
Unknown | 36 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 45% |
Student > Master | 4 | 11% |
Other | 3 | 8% |
Researcher | 3 | 8% |
Student > Doctoral Student | 2 | 5% |
Other | 4 | 11% |
Unknown | 5 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 22 | 58% |
Engineering | 3 | 8% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Linguistics | 1 | 3% |
Mathematics | 1 | 3% |
Other | 2 | 5% |
Unknown | 8 | 21% |