A House Price Prediction For Integrated Web Service System Of Taiwan Districts

GENETIC AND EVOLUTIONARY COMPUTING(2018)

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摘要
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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