INIS
classification
100%
detection
100%
sampling
100%
data analysis
100%
fraud
100%
credit cards
100%
data
75%
machine learning
75%
datasets
50%
performance
25%
increasing
25%
losses
25%
precision
25%
availability
25%
algorithms
25%
vectors
25%
randomness
25%
forests
25%
Computer Science
Classification Technique
100%
Data Analysis
100%
Comparative Analysis
100%
Sampling Technique
100%
Classification Models
50%
Machine Learning Algorithm
50%
Random Decision Forest
50%
Machine Learning Approach
50%
Research Problem
50%
classification result
50%
Support Vector Machine
50%
Logistic Regression
50%
Fraud Detection
50%
Machine Learning
50%
Learning System
50%
Mathematics
Sampling Data
100%
Credit Card
100%
Unbalanced Data
50%
Oversampling
50%
Logistic Regression
25%
Nearest Neighbor
25%
Fraud Detection
25%
Sampling Technique
25%
Support Vector Machine
25%