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Mendeley readers
Chapter title |
Improving iForest with Relative Mass
|
---|---|
Chapter number | 42 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, May 2014
|
DOI | 10.1007/978-3-319-06605-9_42 |
Book ISBNs |
978-3-31-906604-2, 978-3-31-906605-9
|
Authors |
Sunil Aryal, Kai Ming Ting, Jonathan R. Wells, Takashi Washio, Aryal, Sunil, Ting, Kai Ming, Wells, Jonathan R., Washio, Takashi |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 24% |
Student > Ph. D. Student | 7 | 24% |
Student > Bachelor | 2 | 7% |
Professor | 2 | 7% |
Researcher | 1 | 3% |
Other | 1 | 3% |
Unknown | 9 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 48% |
Chemical Engineering | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Earth and Planetary Sciences | 1 | 3% |
Materials Science | 1 | 3% |
Other | 1 | 3% |
Unknown | 10 | 34% |