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Mendeley readers
Chapter title |
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
|
---|---|
Chapter number | 92 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Berlin, Heidelberg, May 2005
|
DOI | 10.1007/11430919_92 |
Book ISBNs |
978-3-54-026076-9, 978-3-54-031935-1
|
Authors |
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida, Fujimaki, Ryohei, Yairi, Takehisa, Machida, Kazuo |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 37% |
Student > Master | 6 | 32% |
Researcher | 2 | 11% |
Professor | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Other | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 68% |
Engineering | 2 | 11% |
Mathematics | 1 | 5% |
Earth and Planetary Sciences | 1 | 5% |
Economics, Econometrics and Finance | 1 | 5% |
Other | 0 | 0% |
Unknown | 1 | 5% |