Spam detection using hybrid model of rough set and decorate ensemble
Sanjiban Sekhar Roy, V. Madhu Viswanatham, Parimala Venkata Krishna · International Journal of Computational Systems Engineering · 2016
The amount of junk emails popularly known as spam emails is ever increasing. It has created inconvenience for email users. Moreover, spam emails are causing huge monetary loss for the organisations. This situation has compelled researchers to build effective spam filters. This paper proposes a hybrid model of rough set and decorate ensemble for the detection of spam emails. Experimental outcome demonstrates that the framework using 'rough set hybridised with decorate ensemble' attains good precision and recall. The outcome of the proposed method surpasses the performances of the existing ensembles. Selecting the optimal value of the parameters is a key criterion and this was achieved by performing ten-fold cross-validations.