DocumentCode
1973897
Title
Classification Rules Mining Based on Intent Reduction
Author
Ge Bin ; Meng Xiang-rui
Author_Institution
Coll. of Comput. Sci. & Eng., Anhui Univ. of Sci. & Technol., Huainan, China
fYear
2010
fDate
20-22 Aug. 2010
Firstpage
1
Lastpage
4
Abstract
Concept lattice is accurate and complete in knowledge representation and is an effective tool for data analysis and knowledge discovery. This paper focuses on classification rules mining based on concept lattices. By modifying incremental computation of intent reduction of concepts, it develops a method to mine affirmative classification rules and approximate classification rules using intent reduction.
Keywords
data analysis; data mining; knowledge representation; pattern classification; affirmative classification rules; approximate classification rules; classification rules mining; concept lattice; concepts intent reduction; data analysis; incremental computation; knowledge discovery; knowledge representation; Accuracy; Association rules; Classification algorithms; Generators; Lattices; Synchronization;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Technology and Applications, 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5142-5
Electronic_ISBN
978-1-4244-5143-2
Type
conf
DOI
10.1109/ITAPP.2010.5566092
Filename
5566092
Link To Document