Feature selection for online streaming high-dimensional data: A state-of-the-art review

EAK Zaman, A Mohamed, A Ahmad - Applied Soft Computing, 2022 - Elsevier
Abstract Knowledge discovery for data streaming requires online feature selection to reduce
the complexity of real-world datasets and significantly improve the learning process. This is …

A machine learning based credit card fraud detection using the GA algorithm for feature selection

E Ileberi, Y Sun, Z Wang - Journal of Big Data, 2022 - Springer
The recent advances of e-commerce and e-payment systems have sparked an increase in
financial fraud cases such as credit card fraud. It is therefore crucial to implement …

A novel approach for credit card fraud detection using decision tree and random forest algorithms

MR Dileep, AV Navaneeth… - 2021 Third International …, 2021 - ieeexplore.ieee.org
In the world of finance, as the technology grown, new systems of business making came into
picture. Credit card system is one among them. But because of lot of loop holes in this …

A machine learning method with hybrid feature selection for improved credit card fraud detection

ID Mienye, Y Sun - Applied Sciences, 2023 - mdpi.com
With the rapid developments in electronic commerce and digital payment technologies,
credit card transactions have increased significantly. Machine learning (ML) has been vital …

Cost reduce: Credit card fraud identification using machine learning

MB Islam, C Avornu, PK Shukla… - 2022 7th International …, 2022 - ieeexplore.ieee.org
Nowadays, one of the most serious ethical challenges in the financial arena is payment card
skimming. Payment card fraud comes in many forms. It is a major and long-term menace to …

A binary firefly algorithm based feature selection method on high dimensional intrusion detection data

YK Saheed - Illumination of artificial intelligence in cybersecurity and …, 2022 - Springer
Network intrusion detection system are significant features that contribute to the enterprises
and organization network success. In the past decade, Intrusion Detection system (IDS) …

Predicting clinical outcomes of radiotherapy for head and neck squamous cell carcinoma patients using machine learning algorithms

T Gangil, AB Shahabuddin, B Dinesh Rao… - Journal of Big Data, 2022 - Springer
Background Radiotherapy is frequently used to treat head and neck Squamous cell
carcinomas (HNSCC). Treatment outcomes being highly uncertain, there is a significant …

Perbandingan akurasi algoritma naïve bayes, k-nn dan svm dalam memprediksi penerimaan pegawai

NA Sinaga, BH Hayadi… - Jurnal Tekinkom (Teknik …, 2022 - jurnal.murnisadar.ac.id
To supporting academic and non-academic activities, the Polytechnic Business Indonesian
(PBI) must be supported by employees with reliable Human Resources (HRD) who have …

An AutoEncoder enhanced light gradient boosting machine method for credit card fraud detection

L Ding, L Liu, Y Wang, P Shi, J Yu - PeerJ Computer Science, 2024 - peerj.com
Online financial transactions bring convenience to people's lives, but also present
vulnerabilities for criminals to embezzle users' accounts and trick users into credit card fraud …

Metaheuristic firefly and C5. 0 algorithms based intrusion detection for critical infrastructures

AQ Adeyiola, YK Saheed, S Misra… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Wireless Sensor Networks (WSN) are groups of stand-alone gadgets that typically feature
one or more sensors (for example, light level, temperature), with relatively limited computing …