Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

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    2. Roung-Shiunn Wu, C.S. Ou, Hui-ying Lin, She-I Chang, David C. Yen, “Using data mining technique to enhance tax evasion detection performance”, Expert Systems with Applications: An International Journal, Volume 39, Issue 10, Pages 8769-8777 , August, 2012.
    3. Fend Tian, Tian Lan, Kuo-Ming Chao, Nick Godwin, “Mining suspicious Tax Evasion groups in Big Data”, IEEE Transactions on Knowledge and Data Engineering, Volume 28, Issue 10, Pages 2651 - 2664, October 1st, 2016.
    4. Freddy Duitama-Munoz, Julian D. Arias-Lundono, “Fraud detection in big data using supervised and semi-supervised learning techniques”, IEEE Columbian Conference on Communications and Computing, August, 2017.
    5. You Dai, Jin Yan, Xiaoxin Tang, Han Zhao, Minyi Gua, “Online credit card fraud detection: A hybrid framework with Big Data technologies”, TrustCom/BigDataSE/ISPA 2016 IEEE, August, 2016.
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    7. Bc. Miroslav Hlav´aˇcek, “Multilayer feedforward neural networks based on multi-valued neurons”, 2014, [Online] Available: https://is.muni.cz /th/359995/ fi_m/dp_text.pdf, [Accessed: February 16, 2018].
    8. Barry de Ville, “Decision Trees for Business Intelligence and Data Mining: Using SAS Enterprise Miner”, SAS Institute Inc., Cary, NC, USA, 2006.

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