Evaluation of Machine Learning Techniques for Email Spam Classification
نویسندگان
چکیده
منابع مشابه
Email Spam Detection A Machine Learning Approach
Machine learning is a branch of artificial intelligence concerned with the creation and study of systems that can learn from data. A machine learning system could be trained to distinguish between spam and non-spam (ham) emails. We aim to analyze current methods in machine learning to identify the best techniques to use in content-based spam filtering.
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The article gives an overview of some of the most popular machine learning methods (Bayesian classification, k-NN, ANNs, SVMs) and of their applicability to the problem of spam-filtering. Brief descriptions of the algorithms are presented, which are meant to be understandable by a reader not familiar with them before. A most trivial sample implementation of the named techniques was made by the ...
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For several years now, email has grown rapidly as the most-used communications tool on the internet. One advantage of the Internet is the ease with which people can communicate online. The popularity of online communication has created an explosion of users who regularly access the internet to connect with others. Many people use email to stay in touch with relatives and friends who live far aw...
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ژورنال
عنوان ژورنال: International journal of education and management engineering
سال: 2021
ISSN: ['2305-3623', '2305-8463']
DOI: https://doi.org/10.5815/ijeme.2021.04.04