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Mendeley readers
Chapter title |
On Pruning and Tuning Rules for Associative Classifiers
|
---|---|
Chapter number | 136 |
Book title |
Knowledge-Based Intelligent Information and Engineering Systems
|
Published by |
Springer, Berlin, Heidelberg, September 2005
|
DOI | 10.1007/11553939_136 |
Book ISBNs |
978-3-54-028896-1, 978-3-54-031990-0
|
Authors |
Osmar R. Zaïane, Maria-Luiza Antonie |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 12% |
United States | 2 | 8% |
France | 1 | 4% |
Germany | 1 | 4% |
New Zealand | 1 | 4% |
Slovakia | 1 | 4% |
Denmark | 1 | 4% |
Belgium | 1 | 4% |
Unknown | 15 | 58% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 35% |
Researcher | 7 | 27% |
Professor > Associate Professor | 6 | 23% |
Student > Doctoral Student | 3 | 12% |
Student > Master | 1 | 4% |
Other | 0 | 0% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 69% |
Agricultural and Biological Sciences | 3 | 12% |
Engineering | 2 | 8% |
Mathematics | 2 | 8% |
Business, Management and Accounting | 1 | 4% |
Other | 0 | 0% |