Big Data Analytics for Nabbing Fraudulent Transactions in Taxation System

Author:

Mehta Priya,Mathews Jithin,Kumar Sandeep,Suryamukhi K.,Sobhan Babu Ch.,Kasi Visweswara Rao S. V.

Publisher

Springer International Publishing

Reference27 articles.

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2. Baesens, B., Vlasselaer, V., Verbeke, W. (eds.): Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection. Wiley, Hoboken (2015). ISBN 978-1-119-13312-4

3. Behera, R., Rath, S., Misra, S., Damasevicius, R., Maskeliunas, R.: Large scale community detection using a small world model. Appl. Sci. 7, 1173 (2017)

4. Borselli, F., Fedeli, S., Giurato, L.: Digital VAT carousel fraud: a new boundary for criminality. Tax Notes International (2015)

5. Dani, S.: A research paper on an impact of goods and service tax (GST) on indian economy. Bus. Econ. J. 7, 264 (2016). ISSN 2151–6219

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1. Representation Learning on Graphs to Identifying Circular Trading in Goods and Services Tax;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

2. Comparative Analysis of Classification Algorithms Applied to Circular Trading Prediction Scenarios;Electronic Government and the Information Systems Perspective;2022

3. Identifying business misreporting in VAT using network analysis;Decision Support Systems;2021-02

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