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Mendeley readers
Chapter title |
A Machine Learning Model for Occupancy Rates and Demand Forecasting in the Hospitality Industry
|
---|---|
Chapter number | 17 |
Book title |
Advances in Artificial Intelligence - IBERAMIA 2016
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-47955-2_17 |
Book ISBNs |
978-3-31-947954-5, 978-3-31-947955-2
|
Authors |
William Caicedo-Torres, Fabián Payares |
Editors |
Manuel Montes y Gómez, Hugo Jair Escalante, Alberto Segura, Juan de Dios Murillo |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 15% |
Student > Master | 5 | 13% |
Student > Bachelor | 5 | 13% |
Student > Ph. D. Student | 3 | 8% |
Lecturer | 2 | 5% |
Other | 2 | 5% |
Unknown | 17 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 25% |
Social Sciences | 4 | 10% |
Business, Management and Accounting | 3 | 8% |
Mathematics | 2 | 5% |
Medicine and Dentistry | 1 | 3% |
Other | 2 | 5% |
Unknown | 18 | 45% |