DocumentCode :
2795679
Title :
A Hierarchical Reduction Algorithm for Concept Hierarchy
Author :
Yuan JunPeng ; Zhu Donghua
Author_Institution :
Sch. of Public Policy & Manage., Tsinghua Univ.
Volume :
1
fYear :
2006
fDate :
16-18 Oct. 2006
Firstpage :
724
Lastpage :
729
Abstract :
Being based on the concept hierarchy, the paper has introduced a new kind of knowledge representation into the system of data mining which can help transfer the concept hierarchy into a range of decision tables. While taking into account the relationship among the nodes at different levels of a concept hierarchy, the paper further proposed a hierarchical reduction algorithm which can be used for the reduction of both attributes and values in the decision tables. At the same time to theoretically prove the rationality of the algorithm, the paper has furthermore proved its efficiency and reliability with an empirical study of the micro-electromechanical system
Keywords :
data mining; decision tables; knowledge representation; micromechanical devices; concept hierarchy; data mining; decision tables; hierarchical reduction algorithm; knowledge representation; microelectromechanical system; Data mining; Encoding; Knowledge management; Knowledge representation; Microelectromechanical systems; Paper technology; Power generation economics; Public policy; TV; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
Type :
conf
DOI :
10.1109/ISDA.2006.59
Filename :
4021529
Link To Document :
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