Využití nástroje Weka v oblasti machine learning

Abstract

This thesis describes analytic tool Weka and its usage in machine learning. Following chapters describes tools' interface along with available algorithms. Weka tool is further analyzed from technical aspects like interconnection of modules and parallelization. We also analyzed datasets of intruder detection issue on both personal computer and HPC environment - we focused on possibilities of Weka tool and issue of processing large datasets. Intruder detection datasets were successfully analyzed on HPC nodes and parallelization possibilities were identified. Various findings could be further processed based on the results.