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
常艳 1曹明 1姚开元1
作者信息
- 1. 山西农业大学 软件学院,山西 太谷 030801
- 折叠
摘要
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.
Abstract
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.
关键词
个人知识库/大数据/房价分析Key words
private knowledge base/big data/analysis of house prices引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据