IEEE - Institute of Electrical and Electronics Engineers, Inc. - Find the most suspicious tax evasion groups from a taxpayer interest interacted network

2016 IEEE International Conference on Systems, Man and Cybernetics (SMC)

Author(s): Feng Tian ; Xing Wan ; Tian Lan ; Tianliang Qi ; Qinghua Zheng ; Kuo-Ming Chao ; Longzhuang Li
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 October 2016
Conference Location: Budapest, Hungary
Conference Date: 9 October 2016
Page(s): 3,624 - 3,629
ISBN (Electronic): 978-1-5090-1897-0
ISBN (USB): 978-1-5090-1819-2
DOI: 10.1109/SMC.2016.7844796
Regular:

Ranking similar structure groups/subgraphs can contribute to importantly practical applications, such as finding the most suspicious tax evasion group within a heterogeneous information network.... View More

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