C-ASFT: Convolutional Neural Networks-Based Anti-spam Filtering Technique

Author:

Dhavale Sunita

Publisher

Springer Singapore

Reference16 articles.

1. Dhavale S (2017) Advanced image-based spam detection and filtering techniques, 1st edn. IGI Global, USA

2. Metsis V, Androutsopoulos I, Paliouras G (2006) Spam filtering with Naive Bayes—which Naive Bayes? In: Proceedings of the 3rd conference on email and anti-spam (CEAS 2006), Mountain View, CA, USA

3. Carreras X, Marquez L (2001) Boosting trees for anti-spam email filtering. In: 4th International conference on recent advances in natural language processing, Tzigov Chark, Bulgaria, pp 58–64 (2001)

4. Drucker HD, Wu D, Vapnik V (1999) Support vector machines for spam categorization. IEEE Trans Neural Netw 10(5):1048–1054

5. Hidalgo JG (2002) Evaluating cost-sensitive unsolicited bulk email categorization. In: 17th ACM symposium on applied computing, pp 615–620

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