Keyphrases
Credit Card Fraud Detection
100%
Noise Sensitivity
100%
Linear Optimization
100%
Decomposition Algorithm
100%
Network-based Methods
66%
Generating Synthetic Data
66%
Generative Networks
66%
Partial Information Sharing
50%
Dantzig-Wolfe Decomposition
50%
Solution Approach
50%
Benders Decomposition
50%
Strongly Connected
50%
Coordination Modes
50%
Global Optimality
50%
Finite number of Iterations
50%
Decentralized Solution
50%
Global Problems
50%
Mutual Benefit
50%
Adversarial Generative Network
33%
Synthetic Data Generation
33%
Credit Card Transactions
33%
Tabular Data
33%
Random Forest
33%
Sensitivity Study
33%
Gradient Boosting Machine
33%
Pareto
33%
Information Transfer
33%
Poisson
33%
Boosting Learning
33%
Extreme Gradient Boosting
33%
Cyber-attacks
33%
Algorithmic Level
33%
F1 Score
33%
Sampling Methods
33%
Noise Distribution
33%
Transaction Database
33%
Exponential Power
33%
K-nearest Neighbor (K-NN)
33%
Noise Level
33%
Classification Criteria
33%
Financial Sector
33%
Over Sampling
33%
Common Noise
33%
Fraud Detection System
33%
Computer Science
Linear Optimization
100%
Noise Sensitivity
100%
Fraud Detection
100%
Synthetic Data
100%
Decision Maker
100%
Class Imbalance Problem
100%
Machine Learning Algorithm
100%
Generative Adversarial Networks
100%
Machine Learning
66%
Global Optimality
50%
Linear Programming Problem
50%
Coordination Mechanism
50%
Communication Networks
50%
Computational Experiment
50%
Imbalanced Data
33%
Financial Sector
33%
Data Generation
33%
Class Imbalance
33%
Gradient Boosting
33%
Classification Task
33%
Logistic Regression
33%
Transaction Database
33%
Decision Trees
33%
Transfer Information
33%
Random Decision Forest
33%
Cyber Attack
33%
XGBoost
33%
Mathematics
Synthetic Data
100%
Decomposition Algorithms
100%
Resampling Method
100%
Fraud Detection
100%
Credit Card
100%
Decision Maker
100%
Wolfe Decomposition Algorithm
50%
Benders Decomposition
50%
Finite Number
50%
Linear Programming Problem
50%
Optimality
50%
Balanced Data
33%
Image Data
33%
Information Transfer
33%
Decision Tree
33%
Matrix
33%
Nearest Neighbour
33%
Logistic Regression
33%
Power Exponential
33%
