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
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;
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
DOI :
10.1109/ITAPP.2010.5566092
