Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping

Explore this paper's citation graph

Summary

This work shows that by using a combination of four novel ideas the authors can search and mine truly massive time series for the first time, and shows that in large datasets they can exactly search under DTW much more quickly than the current state-of-the-art Euclidean distance search algorithms.

Type
article
Published
2012-08-01
Cited by
1,130
References
43
Access
Open access

Keywords

Computer science, Dynamic time warping, Data mining, Time series, Series (stratigraphy)

References

Cited by

Related papers