Artificial Intelligence (AI) techniques to analyze the determinants attributes in housing prices
Fuente:
Redalyc
Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Asociación Española para la Inteligencia Artificial
2016
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1876462978184773632 |
|---|---|
| author | Julia M. Núñez Tabales |
| author_facet | Julia M. Núñez Tabales |
| contents | Artificial Intelligence (AI) techniques to analyze the determinants attributes in housing prices Julia M. Núñez Tabales Francisco J. Rey Carmona José Mª Caridad y Ocerin Ingeniería Valuation House prices Artificial Neural Networks (ANN) Hedonic Prices Methodology (HPM) The econometric approach to obtain the value of a property began with hedonic modelling, which were based on a set of property attributes, internal or external, associated to each particular dwelling. The final sale value can be estimated, and also the marginal prices of each exogenous explanatory variable. A good alternative to the hedonic approach is based on several Artificial Intelligence (AI) techniques, such as artificial neural networks (ANN), these tend to be more precise. Both methodologies are compared, and a case study is developed using data from Seville, the larger town in the South of Spain. 2016 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92549096001 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.58 Vol.19 |
| format | Artículo científico |
| id | redalyc_92549096001 |
| institution | Redalyc |
| language | en |
| publishDate | 2016 |
| publisher | Asociación Española para la Inteligencia Artificial |
| spellingShingle | Artificial Intelligence (AI) techniques to analyze the determinants attributes in housing prices Julia M. Núñez Tabales Ingeniería Valuation House prices Artificial Neural Networks (ANN) Hedonic Prices Methodology (HPM) Artificial Intelligence (AI) techniques to analyze the determinants attributes in housing prices Julia M. Núñez Tabales Francisco J. Rey Carmona José Mª Caridad y Ocerin Ingeniería Valuation House prices Artificial Neural Networks (ANN) Hedonic Prices Methodology (HPM) The econometric approach to obtain the value of a property began with hedonic modelling, which were based on a set of property attributes, internal or external, associated to each particular dwelling. The final sale value can be estimated, and also the marginal prices of each exogenous explanatory variable. A good alternative to the hedonic approach is based on several Artificial Intelligence (AI) techniques, such as artificial neural networks (ANN), these tend to be more precise. Both methodologies are compared, and a case study is developed using data from Seville, the larger town in the South of Spain. 2016 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92549096001 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.58 Vol.19 |
| title | Artificial Intelligence (AI) techniques to analyze the determinants attributes in housing prices |
| topic | Ingeniería Valuation House prices Artificial Neural Networks (ANN) Hedonic Prices Methodology (HPM) |
| url | https://www.redalyc.org/articulo.oa?id=92549096001 |