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.
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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.
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.
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tan Wei PengWei 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 rese. Bestandsnummer des Verkäufers 385708576
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. Bestandsnummer des Verkäufers 9783330336827
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783330336827
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Taschenbuch. Zustand: Neu. Housing Price Prediction | Wei Peng Tan (u. a.) | Taschenbuch | 64 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783330336827 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 111313190
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