Multisource heterogeneous data-based real estate information visualization system

Abstract

The invention discloses a multisource heterogeneous data-based real estate information visualization system. The system is characterized by comprising a real estate information module, a regional function module, a traffic analysis module, a social perception module and a comprehensive evaluation module, wherein the real estate information module is used for displaying real estate information; theregional function module is used for carrying out statistical analysis on quantities and distances of infrastructure around real estates; the traffic analysis module is used for carrying out statistical analysis on traffic conditions and peak hours around the real estates; the social perception module is used for mining texts of social media data and displaying social perception conditions aroundthe real estates through word frequency word clouds, keyword extraction and topic models; and the comprehensive evaluation module is used for establishing a multiple linear regression model by applying statistical methods such as multiple linear regression analysis and the like, determining real estate evaluation indexes and methods, and obtaining pointed real estate cost performance-based transaction suggestions so as to support more reasonable house purchasing decisions.

Description

technical field [0001] The invention relates to a visualization system, in particular to a real estate information visualization system based on multi-source heterogeneous data. Background technique [0002] Since the 21st century, my country's real estate industry has shown a trend of rapid development, and the depth, breadth and complexity of real estate transaction business are all expanding. However, the data involved in real estate is generally multi-sourced and has complex attribute characteristics. It is difficult to use these data scientifically in the previous business methods. The traditional working methods are inefficient and low in accuracy. In the current existing technology, the real estate data management methods adopted by most enterprises in our country are still relatively traditional. Even some existing real estate information management systems and map housing modules still remain at the stage of single function, failing to improve the depth and Effecti...

AI Technical Summary

Problems solved by technology

However, the data involved in real estate is generally multi-sourced and has complex attribute characteristics. It is difficult to use these data scientifically in the previous business methods. The traditional working methods are inefficient and low in accuracy.

In the current existing technology, the real estate data management methods adopted by most enterprises in our country are still relatively traditional. Even some existing real estate information management systems and map housing modules are still at the stage of single function, failing to improve the depth and Effectively mine and use the potential value of real estate data in a wide range

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