Articles liés à A study of content based Spam Filtering Techniques

A study of content based Spam Filtering Techniques - Couverture souple

Khairy, Marwa; M. Mahmoud, Tarek; Hemdan, Tarek

 
9783659590696: A study of content based Spam Filtering Techniques
Couverture souple
ISBN 10 : 365959069X ISBN 13 : 9783659590696
Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

The Internet has almost become an indispensable part of everyday life. Internet usage will continue to grow and therefore online communication and information exchange is gaining immense popularity, affecting users’ social and commercial lives. Along with the growth of e-mail and social networking websites, there has been an increased production of spam over the years. Spam is nothing but unsolicited messages.Many spam-filtering techniques based on supervised machine learning algorithms have been proposed to automatically classify email messages as spam or legitimate (ham). Naive Bayesian classifier is one of the most popular learning algorithms that give promising results in separating spam from legitimate mail.Artificial Immune System (AIS) is an area of research that bridges the disciplines of immunology, computer science and engineering. Many AIS models have been proposed to solve these problems.Some prevalent ones are Clonal selection and Negative selection algorithms.The main objective of this book is building an efficient content-based system for filtering email spam messages.

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Présentation de l'éditeur

The Internet has almost become an indispensable part of everyday life. Internet usage will continue to grow and therefore online communication and information exchange is gaining immense popularity, affecting users’ social and commercial lives. Along with the growth of e-mail and social networking websites, there has been an increased production of spam over the years. Spam is nothing but unsolicited messages.Many spam-filtering techniques based on supervised machine learning algorithms have been proposed to automatically classify email messages as spam or legitimate (ham). Naive Bayesian classifier is one of the most popular learning algorithms that give promising results in separating spam from legitimate mail.Artificial Immune System (AIS) is an area of research that bridges the disciplines of immunology, computer science and engineering. Many AIS models have been proposed to solve these problems.Some prevalent ones are Clonal selection and Negative selection algorithms.The main objective of this book is building an efficient content-based system for filtering email spam messages.

Biographie de l'auteur

Marwa Kh. Mohamed :MSC in Computer Science , Department of Computer science , Faculty of Science , Minia University ,Egypt. Lecturer at Faculty of Computers and Information Technology.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
365959069X
ISBN 13 
9783659590696
Reliure
Broché
Nombre de pages
128
Coordonnées du fabricant
non disponible
Personne responsable
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