A Big Data House Price Analysis System Based on Private Knowledge Base
In the era of big data,due to the multi platform horizontal publishing characteristics of similar infor-mation and the diverse thematic characteristics of platforms,it is difficult for users to obtain all information of a cer-tain vertical field from a single platform that resulting in a situation where data information is abundant,chaotic,and difficult to integrate.In most cases,users only focus on the topics they are interested in,so how to filter high-quality data from the complex and massive data to complete targeted topic analysis has become the primary concern.This article takes the house price data of the six districts in Beijing as the knowledge resource to design and imple-ment a cross platform house price analysis system based on private knowledge base.It has certain reference signifi-cance for applications that require meeting personal characteristics.
private knowledge basebig dataanalysis of house prices
NETL
NSTL
万方数据
维普
