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Mendeley readers
Chapter title |
An Efficient Association Rule Mining Algorithm for Classification
|
---|---|
Chapter number | 69 |
Book title |
Artificial Intelligence and Soft Computing – ICAISC 2008
|
Published by |
Springer, Berlin, Heidelberg, June 2008
|
DOI | 10.1007/978-3-540-69731-2_69 |
Book ISBNs |
978-3-54-069572-1, 978-3-54-069731-2
|
Authors |
A. Zemirline, L. Lecornu, B. Solaiman, A. Ech-cherif |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 9% |
Germany | 1 | 9% |
Canada | 1 | 9% |
Australia | 1 | 9% |
Unknown | 7 | 64% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 55% |
Student > Master | 2 | 18% |
Lecturer | 2 | 18% |
Researcher | 1 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 82% |
Mathematics | 1 | 9% |
Unknown | 1 | 9% |