An Improved Mechanism using J48 Classifiers for Spam Filtering
Keywords:
Social Network, Email, Spam, Social Spam, Support Vector Machine, SMO.Abstract
The internet has become an inherent part of daily day to day life and email has become a robust tool for
information exchange. There has been a prominent growth in spam in recent years as the importance and applications of
the web and e-mail has grown. Spam has been a serious and annoying problem for decades. Even though plenty of
solutions have been put forward, there still remains a lot to be promoted in filtering spam emails more efficiently.
Nowadays a major problem in spam filtering as well as text classification in natural language processing is the huge size
of vector space due to the numerous feature terms, which is usually the cause of extensive calculation and slow
classification. Support vector machine (SVM) takes a set of input data and output the prediction that data lays in one of
the two categories i.e. it classify the data into two possible classes.
