Computer Science
Evolutionary Algorithms
100%
Optimization Problem
43%
Function Evaluation
35%
Fraud Detection
29%
evolutionary optimization
28%
Social Media
21%
Machine Learning
21%
Statistical Technique
21%
Fitness Function
21%
Genetic Algorithm
15%
Search Space
15%
Support Vector Machine
15%
Detection Algorithm
14%
Performance Metric
13%
Approximation (Algorithm)
12%
Feature Selection
12%
Design Optimization
11%
Genetic Programming
10%
Bring Your Own Device
10%
Human Dimension
10%
Model Analysis
10%
Informed Choice
10%
Machine Learning Technique
10%
Machine Learning-Based Approach
10%
Machine Learning Approach
10%
Model Generation
10%
Influencing Factor
10%
Big Data
9%
Problem Domain
8%
Noisy Environment
8%
Computation Time
8%
Online Survey
7%
Preference Learning
7%
Genetic Operator
7%
Solution Space
7%
Actual Function
7%
Security Concern
6%
Clear Understanding
6%
Online Social Networks
6%
Algorithm Performance
6%
Search Technique
6%
Information Security
6%
Learning Approach
5%
Diploidy
5%
Selection Process
5%
Candidate Solution
5%
Superior Performance
5%
Security Perspective
5%
Business Challenge
5%
Security Enterprise
5%
Keyphrases
Evolutionary Algorithms
47%
Metamodel
26%
Credit Card Fraud Detection
23%
Approximate Model
23%
Bioclimatic Model
21%
Machine Learning
21%
Financial Fraud
18%
Evolutionary Optimization
18%
Real-time Optimization
16%
Learning Perspective
15%
Social Engineering
15%
Expensive Optimization
15%
Social Media
15%
Expensive Function Evaluations
14%
Detection Algorithm
13%
Comparative Benefit
13%
Fitness Evaluation
12%
Algorithm Framework
12%
Hybrid Evolutionary Algorithm
11%
Hybrid EA
11%
Statistical Techniques
10%
Human Dimensions
10%
Enterprise Security
10%
Computational Intelligence
10%
Problem Domain
10%
Distributed Population
10%
Uncertain Environment
9%
Population-based
9%
Function Evaluation
8%
Genetic Algorithm
8%
Performance Metrics
8%
Preference Learning
7%
Iterative Search Method
7%
Support Vector Regression Machine
7%
Premature Convergence
7%
Fraud Pattern
7%
Ordinal Regression
7%
Population Diversity
7%
Noisy Environment
7%
Benchmark Functions
7%
Fitness Function
7%
Surrogate-assisted Evolutionary Algorithm
7%
Feature Selection
7%
Computation Time
6%
Population Genetics
6%
Surrogate-based
6%
Genetic Programming
6%
Algorithm Performance
6%
Detection Method
6%
Optimization Problem
6%
