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Mendeley readers
Chapter title |
Using Weighted Nearest Neighbor to Benefit from Unlabeled Data
|
---|---|
Chapter number | 10 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Berlin, Heidelberg, April 2006
|
DOI | 10.1007/11731139_10 |
Book ISBNs |
978-3-54-033206-0, 978-3-54-033207-7
|
Authors |
Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi, Driessens, Kurt, Reutemann, Peter, Pfahringer, Bernhard, Leschi, Claire |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Unknown | 42 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 26% |
Student > Master | 7 | 16% |
Professor > Associate Professor | 6 | 14% |
Student > Doctoral Student | 3 | 7% |
Other | 2 | 5% |
Other | 6 | 14% |
Unknown | 8 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 28 | 65% |
Medicine and Dentistry | 2 | 5% |
Arts and Humanities | 1 | 2% |
Agricultural and Biological Sciences | 1 | 2% |
Unspecified | 1 | 2% |
Other | 2 | 5% |
Unknown | 8 | 19% |