The computational rules extractor in the detection of tax evasion
Yi‐Zeng Hsieh, Mu‐Chun Su, Addison Y.S. Su, Wurong Shih, Jen-Chih Yu, Chien-Yeh Huang · 2015
It is a serious problem of tax evasion in all domains. Because of the narrow human factors, there are case-by-case basis not to examine reported tax cases. Hence, it is a very demanding challenge to grow an effective tax evasion detection mechanism. In this paper, we use the proposed rule extractor approaches (PFHRCNN) to detect tax evasion. The experiment results show the proposed PFHRCNN for tax evasion detection systems is a good way.