COM3401 Individual Project SpamKANN: A k-Nearest Neighbour Spam Filter
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منابع مشابه
Instance-Based Spam Filtering Using SVM Nearest Neighbor Classifier
In this paper we evaluate an instance-based spam filter based on the SVM nearest neighbor (SVM-NN) classifier, which combines the ideas of SVM and k-nearest neighbor. To label a message the classifier first finds k nearest labeled messages, and then an SVM model is trained on these k samples and used to label the unknown sample. Here we present preliminary results of the comparison of SVM-NN wi...
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Spam mail classification and filtering is a commonly investigated problem, yet there has been little research into the application of nearest neighbour classifiers in this field. This paper examines the possibility of using a nearest neighbour algorithm for simple, word based spam mail classification. This approach is compared to a neural network, and decision-tree along with results published ...
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Producing estimates of classification confidence is surprisingly difficult. One might expect that classifiers that can produce numeric classification scores (e.g. k-Nearest Neighbour or Naive Bayes) could readily produce confidence estimates based on thresholds. In fact, this proves not to be the case, probably because these are not probabilistic classifiers in the strict sense. The numeric sco...
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Because cyberspace and Internet predominate in the life of users, in addition to business opportunities and time reductions, threats like information theft, penetration into systems, etc. are included in the field of hardware and software. Security is the top priority to prevent a cyber-attack that users should initially be detecting the type of attacks because virtual environments are not moni...
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Emails are one of the fastest economic communications. Increasing email users has caused the increase of spam in recent years. As we know, spam not only damages user’s profits, time-consuming and bandwidth, but also has become as a risk to efficiency, reliability, and security of a network. Spam developers are always trying to find ways to escape the existing filters therefore new filters to de...
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تاریخ انتشار 2004