spam email classification
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spam email classification




Spam Email Classification Using Decision Tree Ensemble
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ABSTRACT Spam email has already caused many problems such as taking recipient time and wasting network bandwidth. It is time consuming and laborious to remove spam email by hand if there are too many spam email in mailbox. Thus, automatic classification of spam 

DECORATE Ensemble of Artificial Neural Network for Classification
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 Recently, ensemble learning is one of the most popular fields in the data mining and machine learning communities, and has been applied successfully in many real applications such as microarray data classification [21], text classification [22] and Spam email classification [23 

Feature Selection for Improved Phishing Detection
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 Toolan et al. apply feature selection techniques to phishing and spam email classification using 40 features [17]. 3 Feature Selection Methods We evaluate two commonly used feature selection techniques in this paper. 3.1 Correlation-Based Feature Selection (CFS) 

Spam email classification using an adaptive ontology
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ABSTRACT Email has become one of the fastest and most economical forms of communication. However, the increase of email users has resulted in the dramatic increase of spam emails during the past few years. As spammers always try to find a way to evade 

A Comparative Study of Classification Algorithms for Spam Email Data Analysis
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ABSTRACT In recent years email has become one of the fastest and most economical means of communication. However increase of email users has resulted in the dramatic increase of spam emails during the past few years. Data mining-classification algorithms are used to 

Spam Email Classification Using Decision Tree Ensemble
free download

ABSTRACT Spam email has already caused many problems such as taking recipient time and wasting network bandwidth. It is time consuming and laborious to remove spam email by hand if there are too many spam email in mailbox. Thus, automatic classification of spam 

A Spam Email Classification Based on the Incremental Forgetting Bayesian Algorithm
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ABSTRACT The problem of spam emails have been tackled for some time. However, with the evolutionary development of new spam technologies, it has not been solved thoroughly. Thus, miscellaneous spam detection mechanisms have been proposed to handle the 


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