The computational rules extractor in the detection of tax evasion

Yi Zeng Hsieh; Mu Chun Su; Addison Y.S. Su; Wu Rong Shih; Jen Chih Yu; Chien Yeh Huang

doi:10.1109/CCST.2015.7389679

The computational rules extractor in the detection of tax evasion

Yi Zeng Hsieh, Mu Chun Su, Addison Y.S. Su, Wu Rong Shih, Jen Chih Yu, Chien Yeh Huang

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	ICCST 2015 - The 49th Annual IEEE International Carnahan Conference on Security Technology
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	181-184
Number of pages	4
ISBN (Electronic)	9781479986910
DOIs	https://doi.org/10.1109/CCST.2015.7389679
State	Published - 21 Jan 2016
Event	49th Annual IEEE International Carnahan Conference on Security Technology, ICCST 2015 - Taipei, Taiwan Duration: 21 Sep 2015 → 24 Sep 2015

Publication series

Name	Proceedings - International Carnahan Conference on Security Technology
Volume	2015-January
ISSN (Print)	1071-6572

Conference

Conference	49th Annual IEEE International Carnahan Conference on Security Technology, ICCST 2015
Country/Territory	Taiwan
City	Taipei
Period	21/09/15 → 24/09/15

Keywords

fuzzy neural network
particle swarm optimization
tax evasion

Access to Document

10.1109/CCST.2015.7389679

視覺化立體整合展示大氣海洋戰場情資平臺
Su, M.-C. (PI)
1/01/15 → 31/12/15
Project: Research

Cite this

Hsieh, Y. Z., Su, M. C., Su, A. Y. S., Shih, W. R., Yu, J. C., & Huang, C. Y. (2016). The computational rules extractor in the detection of tax evasion. In ICCST 2015 - The 49th Annual IEEE International Carnahan Conference on Security Technology (pp. 181-184). Article 7389679 (Proceedings - International Carnahan Conference on Security Technology; Vol. 2015-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCST.2015.7389679

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keywords = "fuzzy neural network, particle swarm optimization, tax evasion",

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Hsieh, YZ, Su, MC, Su, AYS, Shih, WR, Yu, JC & Huang, CY 2016, The computational rules extractor in the detection of tax evasion. in ICCST 2015 - The 49th Annual IEEE International Carnahan Conference on Security Technology., 7389679, Proceedings - International Carnahan Conference on Security Technology, vol. 2015-January, Institute of Electrical and Electronics Engineers Inc., pp. 181-184, 49th Annual IEEE International Carnahan Conference on Security Technology, ICCST 2015, Taipei, Taiwan, 21/09/15. https://doi.org/10.1109/CCST.2015.7389679

The computational rules extractor in the detection of tax evasion. / Hsieh, Yi Zeng; Su, Mu Chun; Su, Addison Y.S. et al.
ICCST 2015 - The 49th Annual IEEE International Carnahan Conference on Security Technology. Institute of Electrical and Electronics Engineers Inc., 2016. p. 181-184 7389679 (Proceedings - International Carnahan Conference on Security Technology; Vol. 2015-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Hsieh YZ, Su MC, Su AYS, Shih WR, Yu JC, Huang CY. The computational rules extractor in the detection of tax evasion. In ICCST 2015 - The 49th Annual IEEE International Carnahan Conference on Security Technology. Institute of Electrical and Electronics Engineers Inc. 2016. p. 181-184. 7389679. (Proceedings - International Carnahan Conference on Security Technology). doi: 10.1109/CCST.2015.7389679

The computational rules extractor in the detection of tax evasion

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視覺化立體整合展示大氣海洋戰場情資平臺

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