Semi-supervised novelty detection with one class SVM for SMS spam detection
Author:
Affiliation:
1. De Montfort University,Cyber Technology Institute, Faculty of Computing, Engineering and Media,Leicester,United Kingdom
2. Prince Mohammad Bin Fahd University, P.O. Box 1664,College of Computer Engineering & Sciences,Al-Khobar,Saudi Arabia,31952
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9854388/9854389/09854496.pdf?arnumber=9854496
Reference18 articles.
1. A Spam Filtering Method Based on Multi-Modal Fusion
2. An Intelligent Spam Detection Model Based on Artificial Immune System
3. Convolutional Neural Network Based SMS Spam Detection
4. A Comparative Study of Deep Learning Methods for Spam Detection
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