Next Generation Data Technologies for Collective Computational Intelligence
Springer Science & Business Media
Title |
Next Generation Data Technologies for Collective Computational Intelligence
|
---|---|
Published by |
Springer Science & Business Media, April 2011
|
DOI | 10.1007/978-3-642-20344-2 |
ISBNs |
978-3-64-220343-5, 978-3-64-220344-2
|
Editors |
Nik Bessis, Fatos Xhafa |
Country | Count | As % |
---|---|---|
Ireland | 2 | 3% |
Portugal | 1 | 2% |
Netherlands | 1 | 2% |
Brazil | 1 | 2% |
United Kingdom | 1 | 2% |
Mexico | 1 | 2% |
Unknown | 53 | 88% |
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 12 | 20% |
Researcher | 10 | 17% |
Student > Ph. D. Student | 9 | 15% |
Student > Bachelor | 9 | 15% |
Professor | 4 | 7% |
Other | 12 | 20% |
Unknown | 4 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 33 | 55% |
Engineering | 6 | 10% |
Environmental Science | 3 | 5% |
Business, Management and Accounting | 3 | 5% |
Agricultural and Biological Sciences | 2 | 3% |
Other | 8 | 13% |
Unknown | 5 | 8% |