Method for discriminating house property data identity of different information sources

Abstract

The invention relates to a method for discriminating house property data identity of different information sources, and belongs to the technical field of internet data analysis and mining. The identity discrimination method is based on the house data published by Lianjia, 5j5j, Zhongyuan and Maitian websites and the correlation thereof. The characteristics of the house data are analyzed, the repeated house data are removed through the three steps of regional duplicate removal, community duplicate removal and house duplicate removal, the house data are described according to the characteristicsof actual house objects, and although the described angles and modes are different, the data have very high correlation. According to the method, the house data from different websites can be duplicated, the identity of the house data from different information sources can be accurately and efficiently judged, the duplicated areas and cells can be effectively removed, the effective fusion of thehouse data oriented to multi-source heterogeneity can be achieved, and the clean and orderly data are provided for the real estate market analysis.

Description

technical field [0001] The invention relates to a method for discriminating identity of real estate data from different information sources, and belongs to the technical field of Internet data analysis and mining. Background technique [0002] Real estate is an important carrier of the national economy and an extremely important pillar industry in our country. The state of the real estate market and price trends are not only related to the overall development of the national economy, but also affect and affect people's living standards. In recent years, the real estate market has become the focus and hot spot of social attention. [0003] How to strengthen the monitoring of the real estate market and analyze the trend of real estate prices has become an important issue. With the gradual success of my country's real estate market, the core position of the second-hand housing market has become increasingly prominent, and its ability to dominate the entire market has gradually...

AI Technical Summary

Problems solved by technology

[0009] However, at present, there is no method to deduplicate housing data from multi-source real estate websites

The housing data published by the real estate transaction website is semi-structured data, which contains rich housing characteristics, such as the residential area, area, floor, etc. If the web page text is used to judge, the accuracy of the judgment will be reduced

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