DocumentCode
1857807
Title
Subsequence Partition of Time Series Based on Different Width Time Window
Author
Guo, Hongwei ; Zhang, Jianliang ; Liu, Yanchi ; Gao, Xuedong
Author_Institution
Univ. of Sci. & Technol. Beijing, Beijing, China
fYear
2010
fDate
22-24 Jan. 2010
Firstpage
57
Lastpage
60
Abstract
Focusing on the limitation of traditional methods that the subsequences of time series are divided by the same width time window, an improved event series generation algorithm is proposed. Based on the improved event series generation algorithm, a new approach that divides the time series with different width time window is put forward. An example of time series division with different width time window is also presented in the paper.
Keywords
data mining; time series; event series generation algorithm; time series division; time series subsequence partition; width time window; Association rules; Data mining; Decision trees; Electronic learning; Forward contracts; Information analysis; Partitioning algorithms; Shape; Stock markets; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
e-Education, e-Business, e-Management, and e-Learning, 2010. IC4E '10. International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-5680-2
Electronic_ISBN
978-1-4244-5681-9
Type
conf
DOI
10.1109/IC4E.2010.66
Filename
5432384
Link To Document