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Four Decades of Data Mining in Network and Systems Management

机译:网络和系统管理中的四个十年的数据挖掘

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摘要

How has the interdisciplinary data mining field been practiced in Network and Systems Management (NSM)? In Science and Technology, there is a wide use of data mining in areas like bioinformatics, genetics, Web, and, more recently, astroinformatics. However, the application in NSM has been limited and inconsiderable. In this article, we provide an account of how data mining has been applied in managing networks and systems for the past four decades, presumably since its birth. We look into the field’s applications in the key NSM activities—discovery, monitoring, analysis, reporting, and domain knowledge acquisition. In the end, we discuss our perspective on the issues that are considered critical for the effective application of data mining in the modern systems which are characterized by heterogeneity and high dynamism.
机译:在网络和系统管理(NSM)中如何实践跨学科数据挖掘领域?在科学和技术领域,数据挖掘在生物信息学,遗传学,网络以及最近的天文信息学等领域得到了广泛的应用。但是,NSM中的应用程序是有限的且不可思议的。在本文中,我们提供了一个关于过去四十年(大概是自诞生之日)数据挖掘如何应用于管理网络和系统的说明。我们在NSM的关键活动(发现,监视,分析,报告和领域知识获取)中研究该领域的应用程序。最后,我们讨论我们对以异构性和高动态性为特征的现代系统中数据挖掘的有效应用至关重要的问题的观点。

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