基于个人知识库的大数据房价分析系统

A Big Data House Price Analysis System Based on Private Knowledge Base

大数据时代环境下,由于同类信息的多平台水平发布特征、平台的多元主题特性,导致用户不易从单一平台获取某垂直领域的全部信息,形成数据信息多、乱、不易整合的局面。而用户大多数情况下只关注自身感兴趣的话题,所以如何从纷繁复杂的海量数据中筛选高质量数据完成针对性主题分析成为首要关切的问题。本文以北京六区房价数据为知识资源,设计实现基于个人知识库的跨平台大数据房价分析系统,对要求满足个人特性的应用具有一定参考意义。

In the era of big data,due to the multi platform horizontal publishing characteristics of similar information and the diverse thematic characteristics of platforms,it is difficult for users to obtain all information of a certain 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 implement a cross platform house price analysis system based on private knowledge base.It has certain reference significance for applications that require meeting personal characteristics.