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6 days ago Web Jan 13, 2022 · Email Classification Using Machine Learning. Techniques. Timothy H. M. Ssebulime. Faculty of Science and Technolog y. Bournemouth University. Bournemouth, …
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ResearchGate - (PDF) Email Classification Using Machine Learning Techniques - …
› Email Classification Research …
survey a nd ana lysis was per formed on the selected 98 studies. based o n five …
› Email classification and su…
Classification. Abstract. This paper presents the design and implementation of. a …
› (PDF) Email based Spam Det…
Spam emails are the emails that the receiver does. not wish to receive. a …
› (PDF) Deep Neural Network …
classifies spam emails using attention techni ques. The primary contributions …
4 days ago Web May 7, 2017 · This paper comprehensively reviews articles on e-mail classification published in 2006-2016 by exploiting the methodological decision analysis in five …
› Author: Ghulam Mujtaba, Liyana Shuib, Ram Gopal Raj, Nahdia Majeed, Mohammed Ali Al-Garadi
› Publish Year: 2017
4 days ago Web Oct 21, 2023 · Understanding the content of email messages can enable new features that highlight what matters to users, making email a more useful tool for people to manage …
6 days ago Web Jun 18, 2020 · In this paper, we identified the key features of email classification are temporal, behavioral, single email multinomial valued, content and local and global …
› Author: Namrata Shroff, Amisha Sinhgala
› Publish Year: 2021
1 week ago Web Email labeling can reduce the amount of effort to manage this communication. Email classification is so far done to classify emails such as Spam, Non-spam, Junk, social …
1 week ago Web May 9, 2022 · When 5000 mails size was used, Support Vector Machine and Naive Bayes accuracy dropped by 1.8% and 0.7%, respectively. J48 was increased by 1.8%. The …
3 days ago Web Jan 16, 2021 · Email has become one of the most widely used forms of communication, resulting in an exponential increase in emails received and creating an immense burden …
6 days ago Web The research directions, research challenges, and open issues in the field of e-mail classification are also presented for future researchers. Email classification. spam …
1 day ago Web Dec 1, 2018 · In this paper, an efficient email filtering approach based on semantic methods is addressed. The proposed approach employs the WordNet ontology and applies …
2 days ago Web Findings The results approve that the spam emails are correctly classified with the accuracy of 98.00% for. – the Support Vector Machine and 98.06% for the Artificial Neural Network …
2 days ago Web Jan 1, 2015 · As mentioned earlier, collecting an archive of emails for analysis can be done for several purposes. One of the major goals is spam detection. This sub section …
1 week ago Web Aug 26, 2022 · Email is one of the. main means of communication for businesses, government organizations and individuals. 4.03 billion. people use email services …
3 days ago Web Jun 1, 2019 · There is a rapid increase in the interest being shown by the global research community on email spam filtering. ... The paper titled “Spam filtering and email …
4 days ago Web Abstract. Automated classification of email messages into user-specific folders and information extraction from chronologically ordered email streams have become …
4 days ago Web May 7, 2017 · This paper comprehensively reviews articles on e-mail classification published in 2006–2016 by exploiting the methodological decision analysis in five …
5 days ago Web Sep 20, 2004 · The Enron corpus is introduced as a new test bed for email folder prediction, and the baseline results of a state-of-the-art classifier (Support Vector Machines) are …
1 day ago Web Jan 14, 2008 · Classification. Abstract. This paper presents the design and implementation of. a system to group and summarize email messages. The system uses the subject and …
4 days ago Web May 7, 2017 · This paper comprehensively reviews articles on e-mail classification published in 2006–2016 by exploiting the methodological decision analysis in five …
1 day ago Web Apr 30, 2017 · In this paper email classification is done using machine learning algorithms. Two of the important algorithms namely, Naïve Bayes and J48 Decision Tree …
1 week ago Web We evaluated the absolute most famous machine learning methods (Bayesian classification, k-NN, ANNs, SVMs, Counterfeit safe framework, and Unpleasant sets) …
6 days ago Web Nov 30, 2023 · classifies spam emails using attention techni ques. The primary contributions of this study include: • The utilization of deep neural networks (RNN, LSTM, GRU) for …
5 days ago Web 6 days ago · The widespread adoption of blockchain technology has amplified the spectrum of potential threats to its integrity and security. The ongoing quest to exploit …
5 days ago Web Jun 10, 2020 · Spam emails are the emails that the receiver does. not wish to receive. a large number of identical messages are. sent to several recipie nts of email. Spam …