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Mendeley readers
Chapter title |
Learning from Positive and Unlabeled Examples with Different Data Distributions
|
---|---|
Chapter number | 24 |
Book title |
Machine Learning: ECML 2005
|
Published in |
Lecture notes in computer science, October 2005
|
DOI | 10.1007/11564096_24 |
Book ISBNs |
978-3-54-029243-2, 978-3-54-031692-3
|
Authors |
Xiao-Li Li, Bing Liu |
Editors |
João Gama, Rui Camacho, Pavel B. Brazdil, Alípio Mário Jorge, Luís Torgo |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 3 | 4% |
Spain | 2 | 2% |
Canada | 1 | 1% |
United Kingdom | 1 | 1% |
United States | 1 | 1% |
Unknown | 73 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 30 | 37% |
Researcher | 15 | 19% |
Student > Doctoral Student | 5 | 6% |
Student > Master | 5 | 6% |
Professor > Associate Professor | 4 | 5% |
Other | 11 | 14% |
Unknown | 11 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 50 | 62% |
Engineering | 4 | 5% |
Mathematics | 3 | 4% |
Agricultural and Biological Sciences | 2 | 2% |
Decision Sciences | 2 | 2% |
Other | 6 | 7% |
Unknown | 14 | 17% |