Housing Price Prediction - Couverture souple

Tan, Wei Peng; Chou, Tsung-Nan

 
9783330336827: Housing Price Prediction
Couverture souple
ISBN 10 : 333033682X ISBN 13 : 9783330336827
Editeur : LAP LAMBERT Academic Publishing, 2018

Synopsis

The objective of this paper is to evaluate the performance of the grey relational analysis in predicting the housing price for the real estate market of Taiwan. An instance-based approach which used k-nearest neighbor classifier was also applied for performance comparison. The grey relational analysis was modified to calculate the weighted synthesis of the top ten matching instances through various weighting strategies. The experimental results in this paper concluded that the grey relational analysis outperformed the instance-based approach in terms of the mean absolute error, root mean square error and relative absolute error. In addition, the synthesis strategy with descending weights performed better than the averaging weights during the integration process of matching instances. The result also suggested that the performance was slightly decreased if the top ten matching instances were reduced to five instances. The grey relational analysis integrated with the weighted synthesis model can assist both buyers and owners in identifying opportunities and estimating the potential risks in a worsening real estate market.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The objective of this paper is to evaluate the performance of the grey relational analysis in predicting the housing price for the real estate market of Taiwan. An instance-based approach which used k-nearest neighbor classifier was also applied for performance comparison. The grey relational analysis was modified to calculate the weighted synthesis of the top ten matching instances through various weighting strategies. The experimental results in this paper concluded that the grey relational analysis outperformed the instance-based approach in terms of the mean absolute error, root mean square error and relative absolute error. In addition, the synthesis strategy with descending weights performed better than the averaging weights during the integration process of matching instances. The result also suggested that the performance was slightly decreased if the top ten matching instances were reduced to five instances. The grey relational analysis integrated with the weighted synthesis model can assist both buyers and owners in identifying opportunities and estimating the potential risks in a worsening real estate market.

Biographie de l'auteur

Wei Peng Tan is studying for a Ph.D. degree in Business Administration at Chaoyang University of Technology, Taiwan. He received his master degree in Financial Management at the Chaoyang University of Technology. His research interests are leisure sports and health, physical fitness, strategy development and business management.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2018
Langue
anglais
ISBN 10 
333033682X
ISBN 13 
9783330336827
Reliure
Broché
Nombre de pages
64
Coordonnées du fabricant
non disponible
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