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Detecting Tax Evaders Using TrustRank and Spectral Clustering.

, , , , , and . BIS, volume 389 of Lecture Notes in Business Information Processing, page 169-183. Springer, (2020)

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Representation Learning on Graphs to Identifying Circular Trading in Goods and Services Tax., , , , and . CoRR, (2022)Shot Boundary Detection from Lecture Video Sequences Using Histogram of Oriented Gradients and Radiometric Correlation., , , , and . Smart Computer Vision, Springer, (2023)Demystifying Tax Evasion Using Variational Graph Autoencoders., , , and . EGOVIS, volume 12926 of Lecture Notes in Computer Science, page 155-166. Springer, (2021)Representation Learning on Graphs to Identifying Circular Trading in Goods and Services Tax., , , , and . IEEE Big Data, page 2323-2326. IEEE, (2022)DeepCatch: Predicting Return Defaulters in Taxation System using Example-Dependent Cost-Sensitive Deep Neural Networks., , , and . IEEE BigData, page 4412-4419. IEEE, (2020)Curtailing the Tax Leakages by Nabbing Return Defaulters in Taxation System., , , , and . AusDM, volume 1127 of Communications in Computer and Information Science, page 183-195. Springer, (2019)A Novel Example-Dependent Cost-Sensitive Stacking Classifier to Identify Tax Return Defaulters., , , , , and . BIS, page 343-353. (2021)Big Data Analytics for Tax Administration., , , , , , , and . EGOVIS, volume 11709 of Lecture Notes in Computer Science, page 47-57. Springer, (2019)Predictive Modeling for Identifying Return Defaulters in Goods and Services Tax., , , , and . DSAA, page 631-637. IEEE, (2018)Big Data Analytics for Nabbing Fraudulent Transactions in Taxation System., , , , , and . BigData, volume 11514 of Lecture Notes in Computer Science, page 95-109. Springer, (2019)