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A Data Mining Study on House Price in Central Regions of Taiwan Using Education Categorical Data, Environmental Indicators, and House Features Data

Author

Listed:
  • Min-feng Lee

    (The National Museum of Natural Science, Taichung City 404023, Taiwan)

  • Guey-shya Chen

    (The Institute of Educational Information and Statistics, National Taichung University of Education, Taichung City 40306, Taiwan)

  • Shao-pin Lin

    (Graduate Institute of Educational Information and Measurement, National Taichung University of Education, Taichung City 40306, Taiwan)

  • Wei-jie Wang

    (Graduate Institute of Educational Information and Measurement, National Taichung University of Education, Taichung City 40306, Taiwan)

Abstract

This study takes the city of Taichung, Taiwan, as the research area, combines the survey results about the demand for residential houses for the next year, and uses relevant parameters and data of real price registration as the prediction results. In this study, eight types of school district features (such as teachers and students of secondary and elementary schools) and five types of air pollution features are selected and processed with a data mining method to discover the total transactions of real estate properties in various districts of Taichung. The results of K-means clustering and decision tree classification reveal that the four districts of the old Taichung City, namely, Beitun District, North District, Xitun District, and Nantun District, have houses meeting the conditions of egg yolk districts; houses in the old Taichung County have attributes of egg white districts. The results of decision tree classification show that the total price is the most important attribute influencing egg yolk and egg white districts.

Suggested Citation

  • Min-feng Lee & Guey-shya Chen & Shao-pin Lin & Wei-jie Wang, 2022. "A Data Mining Study on House Price in Central Regions of Taiwan Using Education Categorical Data, Environmental Indicators, and House Features Data," Sustainability, MDPI, vol. 14(11), pages 1-15, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6433-:d:823202
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    References listed on IDEAS

    as
    1. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64(5), pages 416-416.
    2. Fabricio Guevara-Viejó & Juan Diego Valenzuela-Cobos & Ana Grijalva-Endara & Purificación Vicente-Galindo & Purificación Galindo-Villardón, 2022. "Data Mining Techniques: New Method to Identify the Effects of Aquaculture Binder with Sardine on Diets of Juvenile Litopenaeus vannamei," Sustainability, MDPI, vol. 14(7), pages 1-12, April.
    3. Nicolas Gravel & Alessandra Michelangeli & Alain Trannoy, 2006. "Measuring the social value of local public goods: an empirical analysis within Paris metropolitan area," Applied Economics, Taylor & Francis Journals, vol. 38(16), pages 1945-1961.
    4. David J. Hand & Heikki Mannila & Padhraic Smyth, 2001. "Principles of Data Mining," MIT Press Books, The MIT Press, edition 1, volume 1, number 026208290x, April.
    5. Theodore Connell-Variy & Björn Berggren & Tony McGough, 2021. "Housing Markets and Resource Sector Fluctuations: A Cross-Border Comparative Analysis," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    6. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    7. Huang, Ju-Chin & Boyle, Kevin J. & Halstead, John M. & Gibbs, Julie P., 2002. "An Hedonic Analysis of the Effects of Lake Water Clarity on New Hampshire Lakefront Properties," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 31(1), pages 1-8, April.
    8. Francesco Tajani & Felicia Di Liddo & Rossana Ranieri & Debora Anelli, 2021. "An Automatic Tool for the Determination of Housing Rental Prices: An Analysis of the Italian Context," Sustainability, MDPI, vol. 14(1), pages 1-20, December.
    9. Reback, Randall, 2005. "House prices and the provision of local public services: capitalization under school choice programs," Journal of Urban Economics, Elsevier, vol. 57(2), pages 275-301, March.
    10. Freccia, David M. & Jacobsen, Joyce P. & Kilby, Peter, 2003. "Exploring the relationship between price and quality for the case of hand-rolled cigars," The Quarterly Review of Economics and Finance, Elsevier, vol. 43(1), pages 169-189.
    11. Hsiu-Chang Tsao & Chi-Jie Lu, 2022. "Assessing the Impact of Aviation Noise on Housing Prices Using New Estimated Noise Value: The Case of Taiwan Taoyuan International Airport," Sustainability, MDPI, vol. 14(3), pages 1-17, February.
    12. Oates, Wallace E, 1969. "The Effects of Property Taxes and Local Public Spending on Property Values: An Empirical Study of Tax Capitalization and the Tiebout Hypothesis," Journal of Political Economy, University of Chicago Press, vol. 77(6), pages 957-971, Nov./Dec..
    13. Combris, Pierre & Lecocq, Sebastien & Visser, Michael, 1997. "Estimation for a Hedonic Price Equation for Bordeaux Wine: Does Quality Matter?," Economic Journal, Royal Economic Society, vol. 107(441), pages 390-402, March.
    14. Estes, Edmund A. & Smith, V. Kerry, 1996. "Price, Quality, And Pesticide Related Health Risk Considerations In Fruit And Vegetable Purchases: An Hedonic Analysis Of Tucson, Arizona Supermarkets," Journal of Food Distribution Research, Food Distribution Research Society, vol. 27(3), pages 1-18, October.
    15. You-Shyang Chen & Chien-Ku Lin & Yu-Sheng Lin & Su-Fen Chen & Huei-Hua Tsao, 2022. "Identification of Potential Valid Clients for a Sustainable Insurance Policy Using an Advanced Mixed Classification Model," Sustainability, MDPI, vol. 14(7), pages 1-22, March.
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