Web Users Clustering by their Behaviour on the Network

M. Turčaník
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引用次数: 5

Abstract

Aim of this paper is to analyse possibility of cluster users of a selected network on the base of their browsing behaviour. Source of information is web access log file which consist of all the important information. Paper presents idea of pre-processing of information from a web access log file and it also presents K-means clustering algorithm used for identification of user groups on the base of their behaviour on the internet. Presented methodology can be used in the area of cyber defence also for other tasks.
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基于网络行为的网络用户聚类
本文的目的是在用户浏览行为的基础上分析所选网络的用户聚类的可能性。信息源是包含所有重要信息的web访问日志文件。本文提出了对网络访问日志文件中的信息进行预处理的思想,并提出了基于用户在互联网上的行为来识别用户组的k均值聚类算法。所提出的方法可用于网络防御领域,也可用于其他任务。
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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