SYSTEM AND METHOD OF BUILDING BIG DATA FOR ESTIMATING HOUSE PRICE USING SPACE INFORMATION

摘要

Disclosed is a system and method for constructing big data for estimating a house price using spatial information. A real estate data collection/purification module that collects data affecting the formation of housing prices from at least one database, and refines data errors between the collected data through spatial attribute values; A big data construction module for constructing big data by linking data for which data errors are refined in the real estate data collection/purification module according to a real estate level; Construct a house price formation information extraction module that extracts information on housing price formation that affects the formation of house prices from the big data built in the big data construction module. According to the big data construction system and method for estimating housing price using the above-described spatial information, it is configured to collect various physical, social, regional price formation factors, etc. from various databases and refine the errors to build big data, Using big data, there is an effect of increasing the accuracy of housing price estimation by considering various factors such as area, building itself, education, and transportation in a complex manner.