S saini

B kasliwal

S bhatia

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Pattern Recognition Letters

Spam detection using Random Boost

Unsolicited e-mail (Spam) has become a major issue for each e-mail user. In recent days it is very difficult to filter spam emails as these emails are written or generated in a very special way so that anti-spam filters cannot detect such emails. This Paper compares and discusses performance measures of certain categories of supervised machine learning techniques such as Bayes algorithms, lazy algorithms, tree algorithms, neural network, and support vector machines for classifying a spam e-mail corpus maintained by UCI Machine Learning Repository. The objective of this study is to consider the content of the emails, learn a finite dataset available and to develop a classification model that will able to predict whether an e-mail is spam or not.

Proceedings  4th International Conference on Computational Intelligence and Communication Networks, CICN 2012

A Comparative Study of Supervised Machine Learning Techniques for Spam E-mail Filtering

Review of Income and Wealth

ANNOUNCEMENTS

Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09

Ensembles in adversarial classification for spam

Subspace, Latent Structure and Feature Selection Lecture Notes in Computer Science

Random Projection, Margins, Kernels, and Feature-Selection

Random Structures and Algorithms

An elementary proof of a theorem of Johnson and Lindenstrauss

Journal	Data powered by TypesetPattern Recognition Letters
Publisher	Data powered by TypesetElsevier BV
ISSN	0167-8655
Open Access	0