An Improved Mechanism using J48 Classifiers for Spam Filtering
| Author(s) | : | Shiva Sharma, U.Datta |
| Institution | : | Dept. of CSE/IT, Maharana Pratap College of Technology, Gwalior, India |
| Published In | : | Vol. 4, Issue 11 — November 2017 |
| Page No. | : | 1218-1225 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The internet has become an inherent part of daily day to day life and email has become a robust tool forinformation exchange. There has been a prominent growth in spam in recent years as the importance and applications ofthe web and e-mail has grown. Spam has been a serious and annoying problem for decades. Even though plenty ofsolutions 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 sizeof vector space due to the numerous feature terms, which is usually the cause of extensive calculation and slowclassification. Support vector machine (SVM) takes a set of input data and output the prediction that data lays in one ofthe two categories i.e. it classify the data into two possible classes.
Shiva Sharma, U.Datta, “An Improved Mechanism using J48 Classifiers for Spam Filtering”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 11, pp. 1218-1225, November 2017.
