摘要
在数字化技术快速发展的背景下,大数据技术已逐渐成为支撑信息时代发展的重要基石。实时流数据处理与挖掘作为大数据技术的关键应用方向,在多个行业中扮演着至关重要的角色,特别是在商业分析、网络安全、智能交通等领域。文中旨在探讨大数据环境下的实时流数据的处理与挖掘技术,通过分析现有的技术框架与挑战,介绍了该技术在数据挖掘中的具体应用。
In the context of the rapid development of digital technology,big data technology has gradually become an important cornerstone to support the development of the information age.As a key application direction of big data technology,real-time streaming data processing and mining plays a crucial role in many industries,especially in business analysis,cyber security,intelligent transportation and other fields.This paper aims to explore the processing and mining technology of real-time streaming data in the big data environment.By analyzing the existing technical framework and challenges,it introduces the specific application of this technology in data mining.
作者
葛海霞
GE Haixia(Shenzhou Municipal Bureau of Data and Government Services,Hengshui,Hebei 053800,China)
出处
《移动信息》
2024年第11期268-270,共3页
Mobile Information
关键词
实时流数据处理
数据挖掘
大数据技术
数据分析
Real-time streaming data processing
Data mining
Big data technology
Data analysis