Detecting fraud via statistical anomalies

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...

全面介紹

書目詳細資料
主要作者: Lee, Cara Zheng Yan
其他作者: Fedor Duzhin
格式: Final Year Project (FYP)
語言:English
出版: Nanyang Technological University 2024
主題:
在線閱讀:https://hdl.handle.net/10356/175633