Semi Supervised Image Spam Hunter: A Regularized Discriminant EM Approach-Reference-Cited by-同舟云学术

Semi Supervised Image Spam Hunter: A Regularized Discriminant EM Approach

Published:2009 Issue: Volume: Page:152-164
ISSN:0302-9743
Container-title:Advanced Data Mining and Applications
language:
Short-container-title:

Author:

Gao Yan,Yang Ming,Choudhary Alok

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-03348-3_17

Reference35 articles.

1. Sophos Plc: http://www.sophos.com/pressoffice/news/articles/2008/07/dirtydozjul08.html

2. Necleus Research: http://nucleusresearch.com/research/notes-and-reports/spamthe-repeat-offender/

3. McAfee: http://www.avertlabs.com/research/blog/index.php/2007/05/25/arespammers-giving-up-on-image-spam/

4. Hayati, P., Potdar, V.: Evaluation of spam detection and prevention frameworks for email and image spam a state of art. In: Proc. Conf. on Information Integration and Web-based Application and Services, Linz, Austria (November 2008)

5. Sahami, M., Dumais, S., Heckerman, D., Horvitz, E.: A bayesian approach to filtering junk e-mail. In: Proc. AAAI Workshop on Learning for Text Categorization, Madison, Wisconsin (July 1998)

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of error level analysis in image spam classification using deep learning model;PLOS ONE;2023-12-14

2. Advanced Machine Learning Model to Detect Spam on Instagram;2023 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS);2023-10-06

3. A Non-Content based Optimized Approach for Image Spam Detection;2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2022-12-21

4. Spam Email Classification by Hybrid Feature Selection with Advanced Machine learning Algorithm – Future Perspective;Journal of Soft Computing Paradigm;2022-07-06

5. E-Mail Spam Filter Based on Unsupervised Neural Architectures and Thematic Categories: Design and Analysis;Studies in Computational Intelligence;2018-10-04