Fraudulent health insurance claims pose a significant challenge to insurance companies and healthcare providers, leading to substantial financial losses and compromised service quality. In this study, we focused on detecting fraudulent health insurance claims using the decision t...
Open access
Research Article10.9734/ajrcos/2023/v16i4370
Software defect prediction plays a crucial role in ensuring software quality and minimizing the potential risks associated with defects. This study aims to develop a comprehensive software defect prediction system that utilizes tree-based algorithms to enhance accuracy, feature s...
Open access
Research Article10.9734/ajrcos/2023/v16i4368
This study undertakes a comparative examination of machine learning algorithms used for intrusion detection, addressing the escalating challenge of safeguarding networks from malicious attacks in an era marked by a proliferation of network-related applications. Given the limitati...
Open access
Research Article10.9734/ajrcos/2023/v16i4366