Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments
N Rana, MSA Latiff, SM Abdulhamid… - Neural Computing and …, 2020 - Springer
Whale optimization algorithm (WOA) is a recently developed swarm-based meta-heuristic
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …
Automatic design of machine learning via evolutionary computation: A survey
N Li, L Ma, T ** countries is on the rise so is the fraud …
A semantic rule based digital fraud detection
Digital fraud has immensely affected ordinary consumers and the finance industry. Our
dependence on internet banking has made digital fraud a substantial problem. Financial …
dependence on internet banking has made digital fraud a substantial problem. Financial …
Özellik seçim yöntemleri ve yeni bir yaklaşım
H Budak - Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü …, 2018 - dergipark.org.tr
Veri madenciliği sürecinin önemli aşamalarından biri veri boyutunun azaltılması işlemidir.
Veri boyutunun azaltılması kısaca, büyük veri kümelerinin depolanması ve analiz …
Veri boyutunun azaltılması kısaca, büyük veri kümelerinin depolanması ve analiz …
[PDF][PDF] An Analysis of the Most Used Machine Learning Algorithms for Online Fraud Detection.
EA Minastireanu, G Mesnita - Informatica Economica, 2019 - revistaie.ase.ro
Today illegal activities regarding online financial transactions have become increasingly
complex and borderless, resulting in huge financial losses for both sides, customers and …
complex and borderless, resulting in huge financial losses for both sides, customers and …
A new model to identify the reliability and trust of internet banking users using fuzzy theory and data-mining
As a result of changes in approach from traditional to virtual banking system, security in data
exchange has become more important; thus, it seems essentially necessary to present a …
exchange has become more important; thus, it seems essentially necessary to present a …
Credit card fraud detection using machine learning
PS Raj, S Murugan, M Kanipriya - AIP Conference Proceedings, 2024 - pubs.aip.org
In this day and age of online and digital transactions, credit card has come up as a popular
option of payment. This has lead to the increase in the fraudulent credit card transactions …
option of payment. This has lead to the increase in the fraudulent credit card transactions …
[PDF][PDF] Feature selection using submodular approach for financial big data
As the world is moving towards digitization, data is generated from various sources at a
faster rate. It is getting humungous and is termed as big data. The financial sector is one …
faster rate. It is getting humungous and is termed as big data. The financial sector is one …