TaxThemis: Interactive mining and exploration of suspicious tax evasion group

• Main Authors: LIN, Yating, WONG, Kamkwai, WANG, Yong, ZHANG, Rong, DONG, Bo, QU, Huamin, ZHENG, Qinghua
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Visual Analytics; Tax Network; Tax Evasion Detection; Anomaly detection; Multidimensional data; OS and Networks; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5346; https://ink.library.smu.edu.sg/context/sis_research/article/6350/viewcontent/2009.03179__1_.pdf
• Institution: Singapore Management University

Tax evasion is a serious economic problem for many countries, as it can undermine the government’s tax system and lead to an unfair business competition environment. Recent research has applied data analytics techniques to analyze and detect tax evasion behaviors of individual taxpayers. However, th...