DocumentCode
3157652
Title
Time series mining technique based on varying series and rough set approach
Author
Yong, Wang
Author_Institution
Coll. of Math. & Comput. Sci., Guangxi Nat. Univ., Nanning
Volume
2
fYear
2006
fDate
4-6 Oct. 2006
Firstpage
1891
Lastpage
1895
Abstract
In this paper, the conceptions of the time-series varying series and the latest time subseries are presented, and the time-series mining technique based on the varying series and the time-series mining technique based on the rough set approach are proposed.The mining technique basing on varying series is first to convert the time series waiting for our studying into its varying series, and then to use the information hiding in the latest time subseries of the time-series varying series to guide us to forecast the variety of the original time series, the time-series mining technique based on the rough set approach is first to import the varying series data set into a decision table, and then to use the knowledge, which is underlying in the condition attribute set equivalence class in which the latest time subseries object is included, to estimate our forecasting object. Finally, the mining algorithm is given, and a concrete mining case is given to test the feasibility and the performance of the mining approach.
Keywords
data mining; rough set theory; time series; rough set approach; time series mining technique; varying series approach; Application software; Computer science; Concrete; Data mining; Educational institutions; Electronic mail; Information systems; Mathematics; Systems engineering and theory; Testing; data mining; forecast; rough set; time series; varying series;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location
Beijing
Print_ISBN
7-302-13922-9
Electronic_ISBN
7-900718-14-1
Type
conf
DOI
10.1109/CESA.2006.4281947
Filename
4281947
Link To Document