Bayesian Network
Credit-Card Fraud Detection: Cost-Sensitive Meta-Learning Bayesian Network Classifiers

Vahid Rezaei Tabar; Mohaddeseh Safakish

Volume 2, Issue 2 , June 2024, , Pages 189-215

https://doi.org/10.22054/jdsm.2025.84487.1064

Abstract
  In the modern era, detecting credit card fraud has become a crucial concern from both financial and security standpoints. Given the rarity of fraudulent activities, the issue is reframed as a binary classification challenge, tackling the complexities of imbalanced datasets. To address this, authors advocate ...  Read More

Bayesian Network
A Simple Gibbs Sampler for Learning Bayesian Network Structure

Vahid Rezaei Tabar

Volume 1, Issue 2 , June 2023, , Pages 87-97

https://doi.org/10.22054/jcsm.2021.55657.1022

Abstract
  The aim of this paper is to learn a Bayesian network structure for discrete variables. For this purpose, we introduce a Gibbs sampler method. Each sample represents a Bayesian network. Thus, in the process of Gibbs sampling, we obtain a set of Bayesian networks. For achieving a single graph that represents ...  Read More