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A house price automatic assessment method based on big data

An automatic evaluation and big data technology, applied in the information field, can solve the problems of considerable difficulty in price calculation, and achieve the effects of avoiding information lag, automatic data collection, and large sample size

Inactive Publication Date: 2019-04-26
HANGZHOU ZHONGFANG INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, batch evaluation requires the guarantee of a large amount of data and scientific calculation methods. If there is not enough data volume and data quality as support, it will lead to considerable difficulty in the actual practice of price calculation.

Method used

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  • A house price automatic assessment method based on big data
  • A house price automatic assessment method based on big data
  • A house price automatic assessment method based on big data

Examples

Experimental program
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Embodiment

[0053] The steps in this embodiment are the same as those in the specific implementation manner, and will not be repeated here. The implementation results are shown below:

[0054] Table 1 shows the housing transaction information and housing characteristic data of each community automatically obtained through step 1), including price information, building characteristics, community characteristics and location coordinates. Among them, price information includes listing price and contract price; building characteristics include house age, building area, floor, total floor, nature; community characteristics include park distance, Taihu Lake distance, commercial complex distance, community environment, living facilities, sports facilities, Educational facilities and convenient transportation; the location coordinates are latitude and longitude.

[0055] Table 2 is the comparison between the price of some houses estimated by the method of the present invention and the actual tra...

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Abstract

The invention discloses an automatic house price evaluation method based on big data. According to the method, multiple characteristic variables influencing the house price in a typical scene are considered, and the house characteristic variable-price information database is established after automatic collection of relevant data, data cleaning, classification and quantification. Meanwhile, the invention provides a house price estimation model based on the improved KNN neighbor algorithm, the model finally obtains the estimated price of the tested house object by circularly comparing the similarity between the tested house object and the sample house object in the database, and the method provides scientific theoretical support for house price evaluation.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a method for automatically evaluating house prices based on big data. Background technique [0002] The current house price evaluation method in our country is to use the market comparison method to artificially evaluate and price a single real estate project. The case evaluation of housing prices cannot guarantee high-efficiency and low-cost evaluation work; at the same time, due to the different judgments of appraisers on the influencing factors and correction range of real estate values, the evaluation results will not be consistent and consistent; In addition, case-by-case evaluation is likely to cause problems such as evaluation corruption that violates professional ethics. [0003] After entering the 21st century, the development of my country's real estate industry presents a scene of prosperity, which further promotes the rapid development of the real estate apprais...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06F16/215G06F16/2458G06F16/28
CPCG06Q30/0206
Inventor 严志民梁丽燕陈再蝶陈璐黄晨鸣
Owner HANGZHOU ZHONGFANG INFORMATION TECH