Securing Transactions: A Hybrid Dependable Ensemble Machine Learning Model using IHT-LR and Grid Search

arXiv:2402.14389v1 Announce Type: new
Abstract: Financial institutions and businesses face an ongoing challenge from fraudulent transactions, prompting the need for effective detection methods. Detecting credit card fraud is crucial for identifying and preventing unauthorized transactions.Timely detection of fraud enables investigators to take swift actions to mitigate further losses. However, the investigation process is often time-consuming, limiting the number of alerts that can be thoroughly examined each day. Therefore, the primary objective of a fraud detection model is to provide accurate …

abstract arxiv businesses card challenge credit credit card credit card fraud cs.lg detection detection methods ensemble face financial financial institutions fraud grid hybrid machine machine learning machine learning model prompting q-fin.gn search swift transactions type