SURVEY OF E-MAIL CLASSIFICATION: REVIEW AND OPEN ISSUES
DOI:
https://doi.org/10.25195/ijci.v46i2.274Keywords:
Machine Learning Techniques, Email Classification, Spam Detection, Multi-folder Categorization, Phishing DetectionAbstract
Email is an economical facet of communication, the importance of which is increasing in spite of access to other approaches, such as electronic messaging, social networks, and phone applications. The business arena depends largely on the use of email, which urges the proper management of emails due to disruptive factors such as spams, phishing emails, and multi-folder categorization. The present study aimed to review the studies regarding emails, which were published during 2016-2020, based on the problem description analysis in terms of datasets, applications areas, classification techniques, and feature sets. In addition, other areas involving email classifications were identified and comprehensively reviewed. The results indicated four email application areas, while the open issues and research directions of email classifications were implicated for further investigation.
Downloads
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
IJCI applies the Creative Commons Attribution (CC BY) license to articles. The author of the submitted paper for publication by IJCI has the CC BY license. Under this Open Access license, the author gives an agreement to any author to reuse the article in whole or part for any purpose, even for commercial purposes. Anyone may copy, distribute, or reuse the content as long as the author and source are properly cited. This facility helps in re-use and ensures that journal content is available for the needs of research.
If the manuscript contains photos, images, figures, tables, audio files, videos, etc., that the author or the co-authors do not own, IJCI will require the author to provide the journal with proof that the owner of that content has given the author written permission to use it, and the owner has approved that the CC BY license being applied to content. IJCI provides a form that the author can use to ask for permission from the owner. If the author does not have owner permission, IJCI will ask the author to remove that content and/or replace it with other content that the author owns or has such permission to use.
Many authors assume that if they previously published a paper through another publisher, they have the right to reuse that content in their PLOS paper, but that is not necessarily the case – it depends on the license that covers the other paper. The author must ascertain the rights he/she has of a specific license (a license that enables the author to use the content). The author must obtain written permission from the publisher to use the content in the IJCI paper. The author should not include any content in her/his IJCI paper without having the right to use it, and always give proper attribution.
The accompanying submitted data should be stated with licensing policies, the policies should not be more restrictive than CC BY.
IJCI has the right to remove photos, captures, images, figures, tables, illustrations, audio, and video files, from a paper before or after publication, if these contents were included in the author's paper without permission from the owner of the content.
