Pages that link to "Item:Q885172"
From MaRDI portal
The following pages link to Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection (Q885172):
Displaying 11 items.
- A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers (Q508592) (← links)
- Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations (Q622072) (← links)
- A multi-class classification MCLP model with particle swarm optimization for network intrusion detection (Q1703607) (← links)
- Belief rule-based classification system: extension of FRBCS in belief functions framework (Q1749596) (← links)
- Exploiting timed automata based fuzzy controllers for designing adaptive intrusion detection systems (Q1933806) (← links)
- Mining fuzzy association rules and fuzzy frequency episodes for intrusion detection (Q2730085) (← links)
- Evolving optimised decision rules for intrusion detection using particle swarm paradigm (Q2935145) (← links)
- Intrusion features selection based on correlation analysis and adaptive genetic algorithm (Q4624401) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707593) (← links)
- A Compact Belief Rule-Based Classification System with Evidential Clustering (Q6108655) (← links)
- Semi-overlap functions and novel fuzzy reasoning algorithms with applications (Q6205035) (← links)
