Related references
Note: Only part of the references are listed.A novel hybrid whale optimization algorithm with flower pollination algorithm for feature selection: Case study Email spam detection
Hekmat Mohammadzadeh et al.
COMPUTATIONAL INTELLIGENCE (2021)
Iterative group-based and difference ranking method for online rating systems with spamming attacks
Quan-Yun Fu et al.
INTERNATIONAL JOURNAL OF MODERN PHYSICS C (2021)
A novel approach for efficient stance detection in online social networks with metaheuristic optimization *
Umit Can et al.
TECHNOLOGY IN SOCIETY (2021)
COVID-19 pandemic cybersecurity issues
Bernardi Pranggono et al.
INTERNET TECHNOLOGY LETTERS (2021)
A feature-centric spam email detection model using diverse supervised machine learning algorithms
Ammara Zamir et al.
ELECTRONIC LIBRARY (2020)
Improved email spam detection model based on support vector machines
Sunday Olusanya Olatunji
NEURAL COMPUTING & APPLICATIONS (2019)
Unsupervised feature learning for spam email filtering
Melvin Diale et al.
COMPUTERS & ELECTRICAL ENGINEERING (2019)
An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks
Hossam Faris et al.
INFORMATION FUSION (2019)
Machine learning for email spam filtering: review, approaches and open research problems
Emmanuel Gbenga Dada et al.
HELIYON (2019)
A Comprehensive Survey for Intelligent Spam Email Detection
Asif Karim et al.
IEEE ACCESS (2019)
Hybrid Water Cycle Optimization Algorithm With Simulated Annealing for Spam E-mail Detection
Ghada Al-Rawashdeh et al.
IEEE ACCESS (2019)
Email Classification Research Trends: Review and Open Issues
Ghulam Mujtaba et al.
IEEE Access (2017)
A novel approach for spam email detection based on shifted binary patterns
Yilmaz Kaya et al.
SECURITY AND COMMUNICATION NETWORKS (2016)
A combined negative selection algorithm-particle swarm optimization for an email spam detection system
Ismaila Idris et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2015)
DETERMINISTIC ANTS IN LABYRINTH - INFORMATION GAINED BY MAP SHARING
Janusz Malinowski et al.
INTERNATIONAL JOURNAL OF MODERN PHYSICS C (2013)
Size optimization of space trusses using Big Bang-Big Crunch algorithm
A. Kaveh et al.
COMPUTERS & STRUCTURES (2009)
Classification with ant colony optimization
David Martens et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2007)
A new optimization method: Big Bang Big Crunch
OK Erol et al.
ADVANCES IN ENGINEERING SOFTWARE (2006)
MAX-MIN Ant System
T Stützle et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2000)
Share Paper
