Title :
Time series mining technique based on varying series and rough set approach
Author_Institution :
Coll. of Math. & Comput. Sci., Guangxi Nat. Univ., Nanning
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;
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
DOI :
10.1109/CESA.2006.4281947