[PDF] Top 20 Detection of Email Spam using an Ensemble based Boosting Technique
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Detection of Email Spam using an Ensemble based Boosting Technique
... Abstract: Email is amongst the advanced socializing communication source that is mostly adapted by business and commercial ...of email as it is quick, cheap, and efficient communication resource, the ... See full document
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A Novel Hybrid Approach for Email Spam Detection based on Scatter Search Algorithm and K-Nearest Neighbors
... GMDH of ANN model has been proposed to email spam detection. GMDH is one of the most important ANN which has high ability is modeling of complex data [22]. Not only does this model provide classic ... See full document
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An Efficient Email Spam Detection using Support Vector Machine
... filtering email software product will be ...the email location of the sender of the ...their email one task (email client).On email programs, customers could aggravate individual, ... See full document
5
Evolutionary symbiotic feature selection for email spam detection
... Bayes, Spam email, Symbiotic Filtering, Text ...local spam filtering is based on a Content- Based Filtering strategy, where word frequencies are fed into a Naive Bayes ...conducted ... See full document
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Consensus Based Ensemble Model for Spam Detection
... Internet, Email is the best way for communication. Email spam is increasing day by ...day. Spam is the main reason for the financial loss on the internet, steal valuable information (bank ... See full document
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Ensemble feature subset selection technique in spam detection system
... In email spam detection, not only different parts and content of emails are important, but also the structural and special features of these emails have effective rule in dimensionality reduction and ... See full document
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A Novel Technique of Classification for Spam Detection
... ABSTRACT Email spam is one of the unsolved problems of the today's Internet, annoying individual users and bringing financial damage to ...stop spam emails, filtering is a popular and important ... See full document
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Spam Detection in Social Networking Sites using Artificial Intelligence Technique
... Keywords: Spam detection, Twitter, ABC and ...spammers. Spam is becoming a growing problem in online social networks like ...the spam messages are posted on Twitter and is twice compared to ... See full document
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Email Spam Classification Using Support Vector Machine Algorithm
... with the test datasets. Keywords: Email Spam, Data Mining, Email Classification, Spam Detection and Prevention. I. INTRODUCTION The generation in the growth of data from recent decades ... See full document
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Spam Detection Using Abstraction
... – Email, spam, email abstraction. I. I NTRODUCTION Email is the most widely used medium for communication worldwide because it’s fast, cheap, reliable and easily ...respond. Email ... See full document
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A Novel Technique of Email Classification for Spam Detection
... example- based classifier; it means that the classifier needs training files for comparison rather than an precise category representation, like the category profiles used by existing other ...accelerated ... See full document
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SPAM AND EMAIL DETECTION IN BIG DATA PLATFORM USING NAIVES BAYESIAN CLASSIFIER
... Many spam filtering techniques have been put into business, which include Bayesian spam filtering and collaborative ...Bayesian spam filters is proved to be remarkably ...all spam as spammers ... See full document
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CLASSIFICATION TECHNIQUES USING SPAM FILTERING EMAIL
... of spam filtration technique. The main task of the spam filtration is to identify whether the mail is spam or ...as spam mail detection is ...are based on the precision, ... See full document
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A Novel Technique for Spam Mail Detection using Dendric Cell Algorithm
... the email messages. Using Finger print vector can compare this fingerprint ...APPROACH Email Spamming is one of the most critical problem that includes the unwanted message communication over the ... See full document
5
Antlion optimization and boosting classifier for spam email detection
... Abstract Spam emails are not necessary, though they are harmful as they include viruses and spyware, so there is an emerging need for detecting spam ...detecting spam emails were suggested ... See full document
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IMAGE BASED SPAM EMAIL DETECTION BY COMBINED APPROACH
... segmented using hybrid approach combining DWT and Hough ...recognized using combined approach of Template Matching and Contour ...shape based feature extraction methods provided better ...evaluated ... See full document
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Hybrid approach for spam email detection
... era, email is a convenient way to enable the user to communicate globally in the world which it has the ...The email message can send to the single user or distribute to the ...an email as the medium ... See full document
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New descriptor for object detection using an improved ensemble-based technique
... Object detection is an essential process for further tasks including, but not limited to, object and event detection, object tracking, object recognition, video indexing, motion estimation, image ... See full document
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Object detection using ensemble of linear classifiers with fuzzy adaptive boosting
... Fig. 4 Feature average (a) and data dispersion (b) other words, it decides each training datum to belong to a positive group or a negative group. The weighted misclas- sification rate then becomes the sum of weights of ... See full document
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A Reputation Based Detection Technique to Cloaked Web Spam
... “Web spam refers to a host of techniques to subvert the ranking algorithms of web search engines and cause them to rank search results higher than they would ...spamming technique, in which different pages ... See full document
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