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 :
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