Multiple classifiers system for anomaly detection
The two major concerns of using credit cards are (i) fraud and (ii) default payment. Fraud and default payment may cause financial losses to both credit cardholders and banks. Thus, many researchers are trying to find various effective ways of addressing these two concerns by using data mining appro...
Saved in:
Main Author: | Kalid, Suraya Nurain |
---|---|
Format: | Thesis |
Published: |
2020
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Anomaly detection algorithms for home activities data
by: Poh, Soon Chang
Published: (2019) -
An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
by: Ayodele Nojeem, Lasisi
Published: (2018) -
From Feature Selection to Building of Cascaded Classifiers: A Network Intrusion Detection Perspective
by: Khor, Kok Chin
Published: (2011) -
Resource allocation for throughput improvement for non-orthogonal multiple access system in fifth-generation networks
by: Abu Ajwa, Osama M.S.
Published: (2022) -
Real time collision warning system in the context of vehicle-to-vehicle data exchange based on drivings behaviours analysis
by: Ameen, Hussein Ali
Published: (2021)