FRAUD DETECTION IN BANKING FINANCIAL TRANSACTIONS USING SVM WITH THE APPLICATION OF A COMBINATION OF SMOTE AND TOMEK LINKS SAMPLING METHODS
The field of information technology is expanding at a rapid rate, and with the aid of electronic devices, community activities2particularly in the financial sector2 are thought to help, but they also carry some risk of encouraging fraudulent financial transactions, which could indirectly increase...
Saved in:
Main Author: | Ayu Novita Prahasta Dewi, Kadek |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/80968 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
FRAUD DETECTION IN FINANCIAL TRANSACTIONS USING TREE-BASED MACHINE LEARNING MODEL
by: Pratama Putra, Arya -
ADVERSARIAL ATTENTION-BASED VARIATIONAL GRAPH AUTOENCODER FOR FRAUD DETECTION IN ONLINE FINANCIAL TRANSACTION
by: Alibasyah Wiriaatmadja, Nur -
ADVERSARIAL ATTENTION-BASED VARIATIONAL GRAPH AUTOENCODER FOR FRAUD DETECTION IN ONLINE FINANCIAL TRANSACTION
by: Alibasyah Wiriaatmadja, Nur -
Fraud, Unauthorised Transactions and Vicarious Liability in Singapore
by: WAN, Wai Yee
Published: (2011) -
Radius-SMOTE: A New Oversampling Technique of Minority Samples Based on Radius Distance for Learning from Imbalanced Data
by: Pradipta, G.A., et al.
Published: (2021)