大数据环境下的实时流数据处理与挖掘技术研究  

Research on Real Time Streaming Data Processing and Mining Technology in the Big Data Environment

作　　者：葛海霞 GE Haixia(Shenzhou Municipal Bureau of Data and Government Services,Hengshui,Hebei 053800,China)

机构地区：[1]深州市数据和政务服务局,河北衡水053800

出　　处：《移动信息》2024年第11期268-270,共3页Mobile Information

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.

关 键 词：实时流数据处理 数据挖掘 大数据技术 数据分析 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]