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Guest Editorial: Special Issue on Data Analytics and Machine Learning for Network and Service Management鈥擯art II
IEEE Transactions on Network and Service Management ( IF 4.7 ) Pub Date : 2021-03-10 , DOI: 10.1109/tnsm.2021.3058742
Nur Zincir-Heywood , Giuliano Casale , David Carrera , Lydia Y. Chen , Amogh Dhamdhere , Takeru Inoue , Hanan Lutfiyya , Taghrid Samak

Network and Service analytics can harness the immense stream of operational data from clouds, to services, to social and communication networks. In the era of big data and connected devices of all varieties, analytics and machine learning have found ways to improve reliability, configuration, performance, fault and security management. In particular, we see a growing trend towards using machine learning, artificial intelligence and data analytics to improve operations and management of information technology services, systems and networks.

中文翻译:


客座社论:网络和服务管理的数据分析和机器学习特刊,第 II 章



网络和服务分析可以利用从云到服务、社交和通信网络的大量运营数据。在大数据和各种互联设备时代,分析和机器学习找到了提高可靠性、配置、性能、故障和安全管理的方法。特别是,我们看到使用机器学习、人工智能和数据分析来改善信息技术服务、系统和网络的运营和管理的趋势日益增长。
更新日期:2021-03-10
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