Advances in Data Mining. Applications and Theoretical Aspects
Springer, Cham
Title |
Advances in Data Mining. Applications and Theoretical Aspects
|
---|---|
Published by |
Springer, Cham, January 2014
|
DOI | 10.1007/978-3-319-08976-8 |
ISBNs |
978-3-31-908975-1, 978-3-31-908976-8
|
Editors |
Petra Perner |
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
France | 1 | 20% |
United Kingdom | 1 | 20% |
Unknown | 1 | 20% |
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 21% |
Student > Bachelor | 7 | 15% |
Student > Postgraduate | 7 | 15% |
Student > Ph. D. Student | 4 | 8% |
Other | 2 | 4% |
Other | 3 | 6% |
Unknown | 15 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 38% |
Engineering | 4 | 8% |
Business, Management and Accounting | 3 | 6% |
Agricultural and Biological Sciences | 2 | 4% |
Nursing and Health Professions | 1 | 2% |
Other | 4 | 8% |
Unknown | 16 | 33% |