摘要
该文从大数据的概念和特征入手,分析了计算机科学与技术在大数据时代的发展趋势和面临的挑战,重点介绍了计算机科学与技术在大数据时代的主要应用领域,包括云计算和分布式系统、数据挖掘和机器学习、信息安全和隐私保护、人工智能和智能服务等,并探讨了计算机科学与技术在大数据时代的创新方法和策略,包括跨学科交叉与融合、开放协作与共享平台、需求驱动与问题导向、实验验证与应用推广等,旨在为计算机科学与技术在大数据时代的发展提供一些参考和启示.
Abstract
The article starts with the concept and characteristics of big data,analyzes the development trends and challenges faced by computer science and technology in the era of big data,and focuses on the main application fields of computer science and technology in the big data era,including cloud computing and distributed systems,data mining and machine learning,information security and privacy protection,artificial intelligence and intelligent services,etc,And explored the innovative methods and strategies of computer science and technology in the era of big data,including interdisciplinary intersection and integration,open collaboration and sharing platforms,demand driven and problem oriented,experimental verification and application promotion,aiming to provide some reference and inspiration for the development of computer science and technology in the era of big data.
维普
万方数据