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首页> 外文期刊>Fuzzy sets and systems >Linguistic summarization of the contents of Web server logs via the Ordered Weighted Averaging (OWA) operators
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Linguistic summarization of the contents of Web server logs via the Ordered Weighted Averaging (OWA) operators

机译：通过有序加权平均（OWA）运算符对Web服务器日志的内容进行语言汇总

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摘要

Analyses of Web server logs may be very useful and are often needed for designers and analysts of computer networks who try to design and optimize the functioning of the systems, safeguard them against attacks, provide for the most effective and efficient access path for the users/customers, etc. Obviously, they are also an interesting research problem that can be viewed from many perspectives, ranging from just a general analyses to topic focused analyses that are aimed at just a specific aspect. In traditional approaches, various statistics are computed and used for analytic and design purposes. Sometimes, visualization tools are also employed. In this paper we present the use of verbalization of results of Web server log data analysis/mining through linguistic data summaries based on fuzzy logic with linguistic quantifiers. Linguistic summaries of both static and dynamic analyses are presented, with an emphasis on the latter. We extend our previous works by employing as an aggregation tool the Ordered Weighted Averaging (OWA) operators due to Yager [52]. We present some examples of potentially interesting linguistic summaries of Web server logs, and indicate their possible assignment to different classes. (C) 2015 Elsevier B.V. Allrightsreserved.
机译：Web服务器日志的分析可能非常有用，计算机计算机的设计人员和分析人员经常需要进行分析，这些人员试图设计和优化系统的功能，保护其免受攻击，并为用户/用户提供最有效的访问路径。显然，它们也是一个有趣的研究问题，可以从许多角度进行研究，从常规分析到仅针对特定方面的主题分析。在传统方法中，会计算各种统计数据并将其用于分析和设计目的。有时，还会使用可视化工具。在本文中，我们介绍了通过基于带有语言量词的模糊逻辑的语言数据摘要对Web服务器日志数据进行分析/挖掘的结果的语言化。介绍了静态分析和动态分析的语言摘要，重点是后者。由于Yager [52]，我们通过使用有序加权平均（OWA）运算符作为聚合工具来扩展以前的工作。我们提供了一些可能有趣的Web服务器日志语言摘要的示例，并指出了它们可能分配给不同的类。 （C）2015 Elsevier B.V.保留所有权利。

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