Using derivatives in a longest common subsequence dissimilarity measure for time series classification

Author:

Górecki Tomasz

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference29 articles.

1. R. Agrawal, C. Faloutsos, A. Swami, Efficient similarity search in sequence databases. in: 4th International Conference on Foundations of Data Organization and Algorithms, Springer Verlag, 1993 pp. 69–84.

2. Fast similarity search in the presence of noise, scaling and translation in time-series databases;Agrawal,1995

3. A complexity-invariant distance measure for time series;Batista,2011

4. Improvements of general multiple test procedures for redundant systems of hypotheses;Bergmann,1988

5. Using dynamic time warping to find patterns in time series;Berndt,1994

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