DocumentCode
3089417
Title
Research of tax inspection cases-choice based on association rules in data mining
Author
Zhu, Qing-xiang ; Guo, Li-juan ; Liu, Jing ; Xu, Nan ; Li, Wei-xu
Author_Institution
Sch. of Econ. & Manage., Yanshan Univ., Qinhuangdao, China
Volume
5
fYear
2009
fDate
12-15 July 2009
Firstpage
2625
Lastpage
2628
Abstract
Association rule of data mining mainly refers to digging out an interesting correlation, opening out the unknown inter-dependence in a great deal of the data. This paper firstly set up inspection indexes for enterprise income tax, and then applies the apriori algorithm of association rules of data mining into tax inspection cases-choice. This method can accurately find the dishonest enterprise in order to improve the efficiency and effectiveness of inspection.
Keywords
data mining; taxation; association rules; data mining; dishonest enterprise; enterprise income tax; inspection indexes; tax inspection cases-choice; Association rules; Conference management; Cybernetics; Data analysis; Data mining; Databases; Decision making; Finance; Inspection; Machine learning; Apriori algorithm; Data mining; Indicator system; Tax inspection cases-choice;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212107
Filename
5212107
Link To Document