Web Users Clustering by their Behaviour on the Network
Michal Turčaník · 2020
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.