Handling class imbalance in credit card fraud using resampling methods
Credit card based online payments has grown intensely, compelling the financial organisations to implement and continuously improve their fraud detection system. However, credit card fraud dataset is heavily imbalanced and different types of misclassification errors may have different costs and it i...
Main Authors: | Hordri, Nur Farhana (Author), Yuhaniz, Siti Sophiayati (Author), Mohd. Azmi, Nurulhuda Firdaus (Author), Shamsuddin, Siti Mariyam (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
Science and Information Organization,
2018.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Balanced the trade-offs problem of ANFIS using particle swarm optimization
by: Rini, Dian Palupi, et al.
Published: (2013) -
Intelligent image processing on board small earth observation satellites
by: Yuhaniz, Siti Sophiayati
Published: (2008) -
Floor limits and credit card fraud in the South African credit card industry
by: deMatos, Richard Bernard
Published: (2009) -
Floor limits and credit card fraud in the South African credit card industry
by: deMatos, Richard Bernard
Published: (2009) -
Predicting Credit Card Fraud by Deep Learning
by: CHEN, PEI-YU, et al.
Published: (2018)