Detecting fraud via statistical anomalies

• Main Author: Lee, Cara Zheng Yan
• Other Authors: Fedor Duzhin
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Mathematical Sciences; Statistical anomalies; Anomalies; Fraud
• Online Access: https://hdl.handle.net/10356/175633
• Institution: Nanyang Technological University

Urban planners and researchers are increasingly integrating mobility data in designing smarter and sustainable cities. It is therefore crucial to identify any anomalies in the dataset to prevent poor planning or statistical interferences. Such mobility data could come from public sources or data b...