A house price prediction for integrated web service system of Taiwan Districts

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationGenetic and Evolutionary Computing - Proceedings of the 11th International Conference on Genetic and Evolutionary Computing
EditorsShu-Chuan Chu, Jerry Chun-Wei Lin, Chien-Ming Chen, Jeng-Shyang Pan
PublisherSpringer Verlag
Pages121-127
Number of pages7
ISBN (Print)9789811064869
DOIs
StatePublished - 1 Jan 2018
Event11th International Conference on Genetic and Evolutionary Computing, 2017 - Kaohsiung, Taiwan
Duration: 6 Nov 20178 Nov 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume579
ISSN (Print)2194-5357

Conference

Conference11th International Conference on Genetic and Evolutionary Computing, 2017
CountryTaiwan
CityKaohsiung
Period6/11/178/11/17

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