DocumentCode :
3467046
Title :
An novel data architecture for data taxonomy
Author :
Wu, Zhibin
Author_Institution :
Sch. of Accountancy, Jiangxi Univ. of Finance & Econ., Nanchang, China
Volume :
2
fYear :
2009
fDate :
5-6 Dec. 2009
Firstpage :
327
Lastpage :
330
Abstract :
Data taxonomy is important in data mining. Many taxonomy algorithms often deal with some discrete data, so the paper puts forward a new taxonomy algorithm based on novel data architecture, it can classify the data with the continuous and discrete attribute. In order to advance the taxonomy validity and the efficiency, the paper codes with the compound data structure, and gets the discrete data by dispersing the continuous attribute data, then classifies them by the intrinsic nature of data based on data creation, which translate the problem of the mix-data classification into the combination optimize problem. The experiment results prove that the algorithm has a good effect and speediness.
Keywords :
data mining; data structures; meta data; compound data structure; continuous attribute; data architecture; data creation; data mining; data taxonomy; discrete attribute; Data mining; Data structures; Finance; Forward contracts; Information management; Inspection; Quality management; Semantic Web; Taxonomy; Testing; Data Architecture; Data Sharing; Data Taxonomy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Test and Measurement, 2009. ICTM '09. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4699-5
Type :
conf
DOI :
10.1109/ICTM.2009.5413041
Filename :
5413041
Link To Document :
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