Preprocessing methods for improving phishing URL detection

Phishing URL detection is a common problem nowadays, and different approaches based on Machine Learning techniques are proposed. In this paper, some preprocessing techniques are used to improve the classification accuracy and the time taken to build and test models. The conclusion that Decision Rules classifier is the most suitable technique for the considered dataset is finally made.