DocumentCode :
2546070
Title :
Sequence Data Indexing Method Based on Minimum DTW Distance
Author :
Kijeong Khil ; Seokil Song
Author_Institution :
Dept. of Comput. Eng., Korea Nat. Univ. of Transp., Chungju, South Korea
fYear :
2012
fDate :
1-3 Nov. 2012
Firstpage :
814
Lastpage :
818
Abstract :
In this paper, we propose an indexing method to support efficient similarity search for sequence databases. We present a novel distance measurement called minimum DTW distance in order to enhance filtering effects. The minimum DTW distance is the distance between a sequence and a group of similar sequences. It enables similarity search through a hierarchical index structure by filtering sequence databases. Finally, we conduct some experiments to demonstrate the superiority of our method over other methods.
Keywords :
database management systems; indexing; query processing; sequences; dynamic time warping; efficient similarity search; hierarchical index structure; minimum DTW distance; novel distance measurement; sequence data indexing method; sequence databases; Distance measurement; Filtering; Indexing; Testing; Time series analysis; DTW; indexing; sequence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud and Green Computing (CGC), 2012 Second International Conference on
Conference_Location :
Xiangtan
Print_ISBN :
978-1-4673-3027-5
Type :
conf
DOI :
10.1109/CGC.2012.129
Filename :
6382912
Link To Document :
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