An Imperial learning of Data Mining Classification Algorithms in Intrusion Detection Dataset
Pooja Bhoria, Kanwal Garg · 2013
Classification is one of the important functionality of data mining. It performs its task by classifies the data into different categories using varieties of algorithms. This classification has wide range of applications in the field of intrusion detection in networking. It categorises network patterns as normal or attack to identify malicious activities occurring in the network. It enforces reliability to network users towards safe networking. In this paper, Researcher is analysing these classification algorithms which includes C4.5 decision tree, Naive bayes, Support vector machine (SVM), Self organised maps (SOM), Random forest, SVM Regression using NSL KDD 99 dataset using Orange canvas V2.6.1 data mining tool.