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X Demographics
Mendeley readers
Chapter title |
Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms
|
---|---|
Chapter number | 16 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer, Berlin, Heidelberg, September 2011
|
DOI | 10.1007/978-3-642-23783-6_16 |
Book ISBNs |
978-3-64-223782-9, 978-3-64-223783-6
|
Authors |
Danai Koutra, Tai-You Ke, U. Kang, Duen Horng (Polo) Chau, Hsing-Kuo Kenneth Pao, Christos Faloutsos, Koutra, Danai, Ke, Tai-You, Kang, U., Chau, Duen Horng (Polo), Pao, Hsing-Kuo Kenneth, Faloutsos, Christos |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 4% |
Germany | 2 | 3% |
Unknown | 63 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 31% |
Student > Master | 16 | 24% |
Researcher | 6 | 9% |
Other | 5 | 7% |
Student > Bachelor | 3 | 4% |
Other | 9 | 13% |
Unknown | 8 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 40 | 59% |
Engineering | 5 | 7% |
Agricultural and Biological Sciences | 3 | 4% |
Business, Management and Accounting | 2 | 3% |
Mathematics | 2 | 3% |
Other | 7 | 10% |
Unknown | 9 | 13% |