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.
16 Ιουν 2021 · Here, we propose a detection model based on the LSTM algorithm for identifying spam and non-spam emails using a dataset from Kaggle comprising a total of 5.572 entries.
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...
7 Οκτ 2020 · In this paper, we apply decision tree data mining technique to header's basic attributes to analyze the association rules of spam e-mails and propose an efficient spam filtering method to...
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.
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 research trend in spam filtering.
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.
