Spam mail has become a rising phenomenon in a world that has recently witnessed high
growth in the volume of emails. This indicates the need to develop an effective spam filter. At …

This research presents the effects of using features selected by two feature selection
methods ie Genetic Search and Greedy Stepwise Search on popular Machine Learning …

The purpose of this research is presenting an machine learning approach for enhancing the
accuracy of automatic spam detecting and filtering and separating them from legitimate …

Classification of the spam from bunch of the email files is a challenging research area in text
mining domain. However, machine learning based approaches are widely experimented in …

The existing spam email classification systems are suffering from the problems of low
accuracy due to the high dimensionality of the associated feature selection (FS) process. But …

In spam filtering techniques, the classification of emails are performed on the basis of a
collection words that are extracted from the training set. The accuracy and performance of …

In this digital world, most of the communication is done only through the Internet. Email is
widely used for exchanging information not only for personal communication but also has an …

Spam is defined as redundant and unwanted electronical letters, and nowadays, it has
created many problems in business life such as occupying networks bandwidth and the …

As web is expanding day by day and people generally rely on web for communication so e-
mails are the fastest way to send information from one place to another. Now a day's all the …

Spam email filtering is a hot area of research, as they are growing with time. Most of the
spam mails are promotional in nature. Therefore, spam mails are not harmful for the …