Job scam detection using classification algorithms

• المؤلف الرئيسي: Sim, Keith Shi Jie
• مؤلفون آخرون: Josephine Chong Leng Leng
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2024
• الموضوعات: Computer and Information Science
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/181115

Scams are the most common type of cybercrime in Singapore, with a majority of them being job scams. Applicant Tracking Systems (ATS) and their automation capabilities makes it easy for scammers to post fraudulent job listings on online recruitment portals such as Monster. It also allows them to easi...