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Timeline
Mendeley readers
Chapter title |
Using Data Mining for Prediction of Hospital Length of Stay: An Application of the CRISP-DM Methodology
|
---|---|
Chapter number | 9 |
Book title |
Enterprise Information Systems
|
Published by |
Springer, Cham, April 2014
|
DOI | 10.1007/978-3-319-22348-3_9 |
Book ISBNs |
978-3-31-922347-6, 978-3-31-922348-3
|
Authors |
Nuno Caetano, Paulo Cortez, Raul M. S. Laureano, Caetano, Nuno, Cortez, Paulo, Laureano, Raul M. S. |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 92 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 24 | 26% |
Student > Bachelor | 7 | 8% |
Student > Postgraduate | 7 | 8% |
Student > Doctoral Student | 4 | 4% |
Student > Ph. D. Student | 3 | 3% |
Other | 7 | 8% |
Unknown | 40 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 28 | 30% |
Engineering | 7 | 8% |
Business, Management and Accounting | 3 | 3% |
Decision Sciences | 2 | 2% |
Environmental Science | 1 | 1% |
Other | 6 | 7% |
Unknown | 45 | 49% |