Bidirectional gated recurrent unit for improving classification in credit card fraud detection
In recent years, the use of credit cards around the world has grown enormously. Thus, the number of fraud cases have also increased, resulting in losses of thousands of dollars worldwide. Therefore, it is mandatory to use techniques that are able to assist in the detection of credit card fraud. For...
Saved in:
Main Authors: | Sadgali, Imane (Author), Sael, Nawal (Author), Benabbou, Fouazia (Author) |
---|---|
Format: | EJournal Article |
Published: |
Institute of Advanced Engineering and Science,
2021-03-01.
|
Subjects: | |
Online Access: | Get fulltext |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hate Speech Detection for Indonesia Tweets Using Word Embedding And Gated Recurrent Unit
by: Patihullah, Junanda, et al.
Published: (2019) -
Sunspot Number Prediction Using Gated Recurrent Unit (GRU) Algorithm
by: Arfianti, Unix Izyah, et al.
Published: (2021) -
Fraudulent credit card transaction detection using soft computing techniques
by: Priyadarshini, Aishwarya, et al.
Published: (2021) -
Outlier Detection Credit Card Transactions Using Local Outlier Factor Algorithm (LOF)
by: Sugidamayatno, Silvano, et al.
Published: (2019) -
Sentiment classification of user's reviews on drugs based on global vectors for word representation and bidirectional long short-term memory recurrent neural network
by: Obayed, Hadab Khalid, et al.
Published: (2021)