DocumentCode :
3327956
Title :
Rough Set Based Related Affect Attribute Reduction Algorithm
Author :
Junhua Ma ; Lu, Yansheng ; Yue, Zhendong ; Yin, Wenjun ; Lv, Hairong
Author_Institution :
Dept. of Comput. Sci., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
154
Lastpage :
156
Abstract :
Data mining is hot-spot research areas recently. Based on rough set theory, this paper proposes the definition of attribute real-time and its attributes reduction algorithm. By configuring the related affect matrix of the attributes and arousing with the attributes affects, we are able to delete the redundant attributes and get the reduction set which can reflect the mutual affect among the attributes. By using decision tables, the proposed algorithm can form the decision rules and serve the automatic diagnosis. The experiments show that our algorithm is more efficient than previous methods.
Keywords :
data analysis; data mining; rough set theory; attribute reduction algorithm; automatic diagnosis; data mining; decision rules; decision tables; rough set theory; Cities and towns; Computer science; Data analysis; Data mining; Information systems; Knowledge based systems; Laboratories; Machine learning; Pattern recognition; Set theory; Attribute Reduction; Related Affection; Rough Set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Computer and Communication, 2009. FCC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3676-7
Type :
conf
DOI :
10.1109/FCC.2009.13
Filename :
5235683
Link To Document :
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