T Torregrosa-Martí
Biographic Data
| ID | 9699182 |
|---|---|
| NAME | T Torregrosa-Martí |
| GIVEN NAMES | T |
| FAMILY NAME | Torregrosa-Martí |
| SIGNATURE | TORREGROSA-MARTÍ T |
| AFFILIATIONS | University of Alicante |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Evaluating machine learning techniques for predicting tourist occupancy
This paper analyses the prediction capacity of machine learning techniques under severe demand shocks. Specifically, three methods – Naive Bayes, Random Forest and Support Vector Machine – are tested in predicting rental occupancy for tourist accommodation in the city of Madrid. We compare two different scenarios: firstly, the predictive capacity in the years prior to COVID-19 and, secondly, the ability to anticipate demand behaviour once the pan…
Productivity of wastewater treatment plants in the Valencia Region of Spain
Productivity of wastewater treatment plants in the Valencia Region of Spain
Evaluating machine learning techniques for predicting tourist occupancy
This paper analyses the prediction capacity of machine learning techniques under severe demand shocks. Specifically, three methods – Naive Bayes, Random Forest and Support Vector Machine – are tested in predicting rental occupancy for tourist accommodation in the city of Madrid. We compare two different scenarios: firstly, the predictive capacity in the years prior to COVID-19 and, secondly, the ability to anticipate demand behaviour once the pan…
Computer Science (2 works) · Mathematics (2 works) · Statistics (2 works) · Agricultural economics (1 work) · Agricultural science (1 work) · Artificial Intelligence (1 work) · Bayes' theorem (1 work) · Bayesian probability (1 work) · Consumer Retail Behavior Studies (1 work) · Covariate (1 work)