DocumentCode
3415967
Title
Research on rough sets theory based tax data mining
Author
Wang, Ying
Author_Institution
MinJiang Univ., Fuzhou, China
Volume
1
fYear
2010
fDate
9-10 Oct. 2010
Firstpage
13
Lastpage
15
Abstract
In order to conduct effectively data mining to the abnormal data in the mass tax data to get decision rules of tax information system, a decision rules mining algorithm based on positive approximation is proposed, which is based on the traditional rough set theory and the decision-making table of coordination. A practice applied in tax monitoring table in a tax department is validated, which shows that the algorithm is simple and effective.
Keywords
approximation theory; data mining; decision making; decision tables; management information systems; rough set theory; taxation; decision making table; decision rule; positive approximation; rough set theory; tax data mining; tax information system; Classification algorithms; Corporate acquisitions; Monitoring; Data Mining; Reduction; Rough Set; Rules; Tax;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Information Technology and Management Engineering (FITME), 2010 International Conference on
Conference_Location
Changzhou
Print_ISBN
978-1-4244-9087-5
Type
conf
DOI
10.1109/FITME.2010.5656551
Filename
5656551
Link To Document