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Mendeley readers
Chapter title |
SOM-Based Novelty Detection Using Novel Data
|
---|---|
Chapter number | 47 |
Book title |
Intelligent Data Engineering and Automated Learning - IDEAL 2005
|
Published by |
Springer, Berlin, Heidelberg, July 2005
|
DOI | 10.1007/11508069_47 |
Book ISBNs |
978-3-54-026972-4, 978-3-54-031693-0
|
Authors |
Hyoung-joo Lee, Sungzoon Cho, Lee, Hyoung-joo, Cho, Sungzoon |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Brazil | 1 | 3% |
Unknown | 29 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 23% |
Student > Ph. D. Student | 5 | 16% |
Student > Doctoral Student | 4 | 13% |
Student > Master | 4 | 13% |
Professor | 2 | 6% |
Other | 6 | 19% |
Unknown | 3 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 23% |
Agricultural and Biological Sciences | 6 | 19% |
Business, Management and Accounting | 5 | 16% |
Engineering | 3 | 10% |
Mathematics | 1 | 3% |
Other | 4 | 13% |
Unknown | 5 | 16% |