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Timeline
Mendeley readers
Chapter title |
Rough Set Theory as a Data Mining Technique: A Case Study in Epidemiology and Cancer Incidence Prediction
|
---|---|
Chapter number | 27 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-10997-4_27 |
Book ISBNs |
978-3-03-010996-7, 978-3-03-010997-4
|
Authors |
Zaineb Chelly Dagdia, Christine Zarges, Benjamin Schannes, Martin Micalef, Lino Galiana, Benoît Rolland, Olivier de Fresnoye, Mehdi Benchoufi |
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 % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 36% |
Lecturer | 1 | 9% |
Other | 1 | 9% |
Student > Bachelor | 1 | 9% |
Student > Master | 1 | 9% |
Other | 0 | 0% |
Unknown | 3 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 36% |
Agricultural and Biological Sciences | 1 | 9% |
Social Sciences | 1 | 9% |
Engineering | 1 | 9% |
Unknown | 4 | 36% |