DocumentCode
1791728
Title
A visualized data analysis for bogus business entity detection
Author
Cheng, Hao-Chien ; Yi-Chuan Lu ; Chih-Cheng Hsu
Author_Institution
Coll. of Manage., Yuan Ze Univ., Chungli, Taiwan
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
9
Lastpage
15
Abstract
We aimed to build up a visualized data analysis process to detect potential tax evasion caused by bogus business entities. Relevant datasets of bogus business entities were extracted from large databases of 8 different systems at the Fiscal Information Agency for tax evasion pattern recognition and behavior analysis. Visualized data analysis not only helped on identifying bogus business entities, but also helped to establish a detection mechanism to discover potential tax evasion for the government.
Keywords
data analysis; data visualisation; government data processing; taxation; Fiscal Information Agency; bogus business entity detection; government; potential tax evasion detection; tax evasion behavior analysis; tax evasion pattern recognition; visualized data analysis process; Data analysis; Data mining; Data visualization; Economics; Finance; Government; bogus business entity; data visualization; pattern recognition; tax evasion;
fLanguage
English
Publisher
ieee
Conference_Titel
Big Data (Big Data), 2014 IEEE International Conference on
Conference_Location
Washington, DC
Type
conf
DOI
10.1109/BigData.2014.7004407
Filename
7004407
Link To Document