Spam Classification: Radix Encoded Fragmented Database Approach - Tapa blanda

Sharma Kapil; Jatana Nishtha; Bala Manju

 
9783639708004: Spam Classification: Radix Encoded Fragmented Database Approach
Tapa blanda
ISBN 10: 3639708008 ISBN 13: 9783639708004
Editorial: Scholars' Press, 2015

Sinopsis

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.

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Reseña del editor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Scholars' Press
Año de publicación
2015
Idioma
Inglés
ISBN 10 
3639708008
ISBN 13 
9783639708004
Encuadernación
Tapa blanda
Número de páginas
80
Contacto del fabricante
no disponible
Persona responsable
no disponible