Paper 16 (Research track)

PRISMO: Priority Based Spam Detection Using Multi Optimization

Author(s): Mohit Agrawal, R Leela Velusamy

Abstract: The rapid growth of social networking sites such as Twitter, Facebook, Google+, MySpace, Snapchat, Instagram, etc., along with its local invariants such as Weibo, Hyves, etc., has made them infiltrated with large amount of spamming activities. Based on the features, an account or content can be classified as spam or benign. The presence of some irrelevant features decreases the performance of classifier, understandability of dataset, and the time requirement for training and classification increases. Therefore, Feature subset selection is an essential phase in the process of machine learning mechanism. The objective of feature subset selection is to choose a subset of size‘s’ (s

Keywords: Dimensionality reduction; Genetic Algorithm; Spamming; Particle Swarm Optimization; Web 2.0.

Leave a Reply

Your email address will not be published. Required fields are marked *