非数值数据异常的检测

2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) Pub Date : 2016-10-01 DOI:10.1109/ICUMT.2016.7765370

A. Grusho, N. A. Grusho, E. Timonina

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引用次数: 5

摘要

在复杂系统(信息系统、网络等)的分析中，检测其状态的异常是必要的。对于数值数据，有剖面、回归等技术。在对非数值数据的监督中，出现了异常确定的问题，以及异常识别的问题。本文给出了较为通用的异常分析模型。在检测异常条件时，对实际系统的简化模型进行分析，允许对实际系统中的异常进行识别。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Detection of anomalies in non-numerical data

In the analysis of complex systems (information systems, networks, etc.) it is necessary to detect anomalies of their states. For numerical data there are technics of profiles, regressions, etc. At supervision of non-numerical data arises problems of determination of anomalies, and also problems of identification of anomalies. Rather universal model of the analysis of anomalies is given in the paper. Conditions when detection of anomalies in the conditions of the analysis of the simplified model of real system allows to identify anomalies in the real system are received.

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2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

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