摘要
本文采用基于数据质量的大数据集成服务方案及支持向量机的数据挖掘技术来解决当前大数据管理中数据质量低下的问题,通过建立科学的分析模型,及时治理数据质量问题,推动大数据的整体质量持续提升。
This paper adopts big data integration service scheme based on data quality and data mining technology of support vector machine to solve the problem of low data quality in current big data management.Through the establishment of scientific analysis model,Manage data quality problem in time,We will continue to improve the overall quality of big data.
作者
黄东
HUANG Dong(School of Computer,Electronics and Information,Guangxi University,Nanning Guangxi 530004;Beibu Gulf University,Qinzhou Guangxi 535009)
出处
《数字技术与应用》
2019年第9期109-110,共2页
Digital Technology & Application
关键词
数据质量
大数据
集成服务
支持向量机
data quality
Big data
Integration services
Support vector machine
