Spam Classification: Radix Encoded Fragmented Database Approach - Softcover

Sharma Kapil; Jatana Nishtha; Bala Manju

Softcover

ISBN 10: 3639708008 ISBN 13: 9783639708004

Publisher: Scholars' Press, 2015

Synopsis

Spam or unsolicited email has become a major problem for companies and private users. The problems associated with spam and various approaches that attempt to deal with it, have been presented here. Statistical classifiers are one such group of methods that show adequate performance in filtering spam, based upon the previous knowledge gathered through collected and classified emails. Learning algorithms that uses the Naive Bayesian classifier have shown promising results in separating spam from legitimate mail. An encoded and fragmented database approach that resembles radix sort technique has been proposed and applied for first time to improve Paul Graham's Naive Bayes machine learning algorithm for spam filtering.

Edition details

• Publisher: Scholars' Press
• Publication date: 2015
• Language: English
• ISBN 10: 3639708008
• ISBN 13: 9783639708004
• Binding: Paperback
• Number of pages: 80