DocumentCode
2119012
Title
Attribute discretization algorithm for data stream based on hierarchical clustering and information entropy
Author
Bo-Wei, Cao ; Qing, Xue ; Ai-Lan, Li
Author_Institution
Acad. of Armored Forces Eng., Beijing, China
fYear
2012
fDate
21-23 April 2012
Firstpage
193
Lastpage
196
Abstract
Attribute discretization is one of the basis pre-treatment methods for data stream mining. For the reason that the attribute discretization algorithm cannot be applied with the highspeed data stream directly, we firstly build a synopsis structure for data stream, then proposed an attribute discretization algorithm based on a synopsis structure, finally, the simulation experiment results show that the method has achieved the problem of data stream attribute discretization.
Keywords
data mining; entropy; pattern clustering; attribute discretization algorithm; basis pretreatment methods; data stream attribute discretization problem; data stream mining; hierarchical clustering; information entropy; synopsis structure; Decision support systems; Frequency division multiplexing; Mercury (metals); Attribute Discretization; Data Stream; Hierarchical Clustering; Information Entropy; Synopsis Structure;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4577-1414-6
Type
conf
DOI
10.1109/CECNet.2012.6201707
Filename
6201707
Link To Document