Αποτελέσματα Αναζήτησης
In this paper we review some of the most popular machine learning methods (Bayesian classification, k-NN, ANNs, SVMs, Artificial immune system and Rough sets) and of their applicability to the problem of spam Email classification.
11 Μαΐ 2022 · PDF | Spam emails have been traditionally seen as just annoying and unsolicited emails containing advertisements, but they increasingly include scams,... | Find, read and cite all the...
10 Ιουν 2019 · We present a systematic review of some of the popular machine learning based email spam filtering approaches. Our review covers survey of the important concepts, attempts, efficiency, and the ...
3 Ιουν 2016 · We present a comprehensive review of the most effective content-based e-mail spam filtering techniques. We focus primarily on Machine Learning-based spam filters and their variants, and...
17 Οκτ 2024 · 1 Introduction. Email is an essential tool that helps people, businesses, and organizations communicate conveniently and seamlessly. It allows us to exchange information quickly when we are apart or in different time zones.
23 Ιουν 2008 · This paper analyzes to what extent Bayesian filtering techniques used to block email spam, can be applied to the problem of detecting and stopping mobile spam, and demonstrates that Bayesian filters can be effectively transferred from email to SMS spam.
1 Ιαν 2021 · open access. Abstract. Unsolicited emails such as phishing and spam emails cost businesses and individuals millions of dollars annually. Several models and techniques to automatically detect spam emails have been introduced and developed yet non showed 100% predicative accuracy.
