DocumentCode
3137441
Title
Subsequence time series (STS) clustering techniques for meaningful pattern discovery
Author
Peker, Kadir A.
Author_Institution
Mitsubishi Electr. Res. Labs., Cambridge, MA, USA
fYear
2005
fDate
April 18-21, 2005
Firstpage
360
Lastpage
365
Keywords
data mining; pattern clustering; pattern matching; time series; minimum shift distance; pattern alignment; pattern discovery; sliding window; subsequence time series clustering; trivial match; Clustering methods; Laboratories; Pattern matching; Sociotechnical systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Integration of Knowledge Intensive Multi-Agent Systems, 2005. International Conference on
Print_ISBN
0-7803-9013-X
Type
conf
DOI
10.1109/KIMAS.2005.1427109
Filename
1427109
Link To Document