A systematic review of literature on credit card cyber fraud detection using machine and deep learning
The increasing spread of cyberattacks and crimes makes cyber security a top priority in the
banking industry. Credit card cyber fraud is a major security risk worldwide. Conventional …
banking industry. Credit card cyber fraud is a major security risk worldwide. Conventional …
Autoencoders and their applications in machine learning: a survey
Autoencoders have become a hot researched topic in unsupervised learning due to their
ability to learn data features and act as a dimensionality reduction method. With rapid …
ability to learn data features and act as a dimensionality reduction method. With rapid …
User'intention to adopt blockchain certificate authentication technology towards education
This study aims to measure user intention to adopt blockchain certificate authentication, by
integrating two theories of the Information Systems Success Model and the Plan Behavior …
integrating two theories of the Information Systems Success Model and the Plan Behavior …
Credit card fraud detection based on improved Variational Autoencoder Generative Adversarial Network
Y Ding, W Kang, J Feng, B Peng, A Yang - IEEE Access, 2023 - ieeexplore.ieee.org
The rapid spread of mobile banking and e-commerce has coincided with a dramatic
increase in fraudulent online payments in recent years. Although machine learning and …
increase in fraudulent online payments in recent years. Although machine learning and …
Quantum autoencoder for enhanced fraud detection in imbalanced credit card dataset
Credit card fraud detection is crucial for financial security which entails identifying
unauthorized transactions that can result in significant financial losses. Detection is …
unauthorized transactions that can result in significant financial losses. Detection is …
[PDF][PDF] Credit card fraud detection by improved SVDD
A Mniai, K Jebari - Proceedings of the world congress on engineering, 2022 - iaeng.org
The COVID-19 pandemic has brought dramatic changes in human beings' habits. One of
these major changes is the increase use of credit card. Online shopping has become …
these major changes is the increase use of credit card. Online shopping has become …
Location-based mobile community using ants-based cluster algorithm
C Srisa-an - International Journal for Applied Information …, 2021 - ijaim.net
A location based service (LBS) is widely used on modern smartphone around the world asits
built-in features. Each smartphone can access a google API or map. People can therefore …
built-in features. Each smartphone can access a google API or map. People can therefore …
Prediksi Penyakit Diabetes Melitus Tipe 2 Menggunakan Algoritma K-Nearest Neighbor (K-NN): Prediction of Type 2 Diabetes Mellitus Using The K-Nearest Neighbor …
A Oktaviana, DP Wijaya, A Pramuntadi… - … : Indonesian Journal of …, 2024 - journal.irpi.or.id
Diabetes Melitus (DM) merupakan salah satu Penyakit Tidak Menular (PTM) yang dikenal
dengan tingginya kadar gula dalam darah. International Diabetes Federation (IDF) …
dengan tingginya kadar gula dalam darah. International Diabetes Federation (IDF) …
Tri-XGBoost model improved by BLSmote-ENN: an interpretable semi-supervised approach for addressing bankruptcy prediction
Bankruptcy prediction is considered one of the most important research topics in the field of
finance and accounting. The rapid increase of data science, artificial intelligence, and …
finance and accounting. The rapid increase of data science, artificial intelligence, and …
Identity theft and financial loss
D Hummer, DJ Rebovich - Handbook on Crime and Technology, 2023 - elgaronline.com
The evidence is overwhelming that identity theft is an increasing problem both globally and
in the United States. Over the past twenty years, data from consumer agencies indicate an …
in the United States. Over the past twenty years, data from consumer agencies indicate an …