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A House Price Prediction for Integrated Web Service System of Taiwan Districts

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Genetic and Evolutionary Computing (ICGEC 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 579))

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Abstract

Buying a house is not an easy thing for the most people. If you want to buy a house, you must to consider many factors. Such as the house pattern and location. These factors directly or indirectly affect the value of the house value. The current sale of the house only to provide the price and details of house information. There is no provision of the housing prices trend. Hence, this system is a network service for combine the house price forecast and the sale of house information. House buyers make good choice by this house price prediction service. This system use analytical method and forecasting model to forecast house prices. In experimental results, we use hit rate to verification if the forecast interval is reasonable. More than half of six city’s hit rate above 75%. It is means our system can help people to buy satisfied house.

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Author information

Authors and Affiliations

  1. Computer Science, National Chiao Tung University, 1001 University Road, Hsinch, Taiwan

    Chia-Chen Fan, Shyan-Ming Yuan, Xuebai Zhang & Yu-Chuan Lin

Authors
  1. Chia-Chen Fan
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  2. Shyan-Ming Yuan
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  3. Xuebai Zhang
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  4. Yu-Chuan Lin
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Corresponding author

Correspondence to Chia-Chen Fan .

Editor information

Editors and Affiliations

  1. School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, China

    Jerry Chun-Wei Lin

  2. Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  3. School of Computer Science, Engineering and Mathematics, Flinders University, Bedford Park, South Australia, Australia

    Shu-Chuan Chu

  4. School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, China

    Chien-Ming Chen

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Fan, CC., Yuan, SM., Zhang, X., Lin, YC. (2018). A House Price Prediction for Integrated Web Service System of Taiwan Districts. In: Lin, JW., Pan, JS., Chu, SC., Chen, CM. (eds) Genetic and Evolutionary Computing. ICGEC 2017. Advances in Intelligent Systems and Computing, vol 579. Springer, Singapore. https://doi.org/10.1007/978-981-10-6487-6_15

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  • DOI: https://doi.org/10.1007/978-981-10-6487-6_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6486-9

  • Online ISBN: 978-981-10-6487-6

  • eBook Packages: EngineeringEngineering (R0)

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