You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Comparing Rule Measures for Predictive Association Rules
|
---|---|
Chapter number | 47 |
Book title |
Machine Learning: ECML 2007
|
Published by |
Springer, Berlin, Heidelberg, September 2007
|
DOI | 10.1007/978-3-540-74958-5_47 |
Book ISBNs |
978-3-54-074957-8, 978-3-54-074958-5
|
Authors |
Paulo J. Azevedo, Alípio M. Jorge, Azevedo, Paulo J., Jorge, Alípio M. |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 1% |
Sudan | 1 | 1% |
France | 1 | 1% |
Brazil | 1 | 1% |
United States | 1 | 1% |
Unknown | 94 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 19% |
Student > Master | 18 | 18% |
Student > Doctoral Student | 9 | 9% |
Student > Bachelor | 9 | 9% |
Researcher | 5 | 5% |
Other | 15 | 15% |
Unknown | 24 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 41 | 41% |
Engineering | 9 | 9% |
Social Sciences | 4 | 4% |
Medicine and Dentistry | 4 | 4% |
Economics, Econometrics and Finance | 2 | 2% |
Other | 9 | 9% |
Unknown | 30 | 30% |