Amanote Research
Register
Sign In
A Learning Approach to Spam Detection Based on Social Networks
doi 10.14711/thesis-b987573
Full Text
Open PDF
Abstract
Available in
full text
Date
Unknown
Authors
Ho-Yu Lam
Publisher
The Hong Kong University of Science and Technology Library
Related search
Understanding Security Threats in Spam Detection on Social Networks
Circulation in Computer Science
A Self-Supervised Approach to Comment Spam Detection Based on Content Analysis
International Journal of Information Security and Privacy
Information Systems
LSSVM-based Social Spam Detection Model
Spam Account Detection on Social Media Using Machine Learning Methods: A Survey
International Journal for Research in Applied Science and Engineering Technology
Opinion Spam Detection Based on Annotation Extension and Neural Networks
Computer and Information Science
A Skeleton-Based Approach to Learning Bayesian Networks From Data
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Spam Comment Recognition Based on Wide & Deep Learning
Frontiers in Signal Processing
Transactional Behaviour Based Spam Detection
A Survey on Spam Detection Techniques
IJARCCE