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 |
Detecting Abnormal Events via Hierarchical Dirichlet Processes
|
---|---|
Chapter number | 27 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Berlin, Heidelberg, April 2009
|
DOI | 10.1007/978-3-642-01307-2_27 |
Book ISBNs |
978-3-64-201306-5, 978-3-64-201307-2
|
Authors |
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 6% |
India | 1 | 3% |
Ireland | 1 | 3% |
China | 1 | 3% |
United States | 1 | 3% |
Unknown | 28 | 82% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 47% |
Student > Master | 3 | 9% |
Researcher | 3 | 9% |
Lecturer | 2 | 6% |
Professor > Associate Professor | 2 | 6% |
Other | 3 | 9% |
Unknown | 5 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 21 | 62% |
Engineering | 7 | 21% |
Philosophy | 1 | 3% |
Unknown | 5 | 15% |