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AUTOMATED VALUATION SYSTEM AND METHOD OF PROPERTY PRICE BASED ON AN ENSEMBLE LEARNING TECHNIQUE
AUTOMATED VALUATION SYSTEM AND METHOD OF PROPERTY PRICE BASED ON AN ENSEMBLE LEARNING TECHNIQUE
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机译:基于包涵学习技术的房地产价格自动评估系统和方法
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摘要
A real estate database in which actual transaction prices, geographical coordinates, and similar price zone data for each real estate are stored in advance; The model price and the non-parametric model are applied to the real price, geographical coordinates and similar price zone data of the real estate to calculate the price of each model for the predetermined real estate of the population, and the price of each model is the same or different from each other The weighted price is calculated to determine the price difference according to the physical location through whether the calculated weighted price is similar to the comparable price compartment data of the real estate. A pricing model design module that calculates an estimated price by interpolating a weighted price on a space in consideration of a physical location when a price difference according to a location is equal to or greater than a predetermined reference value; An estimated price validation module for verifying the validity of the estimated price by comparing the estimated price with the actual transaction price; A population price estimation module for calculating the estimated price of the remaining real estate in the population according to the calculation method of the price estimation model design module when the validity is verified; An estimated price adequacy review module that examines the adequacy of the estimated price of the remaining real estate in the population against the price range for the estimated price of the population real estate and the price range of the actual transaction price; If the estimated price is deemed to be reasonable, an estimated price providing module that provides the estimated estimated price online is constructed.;
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