1. Searching and mining trillions of time series subsequences under dynamic time warping
2. Using Dynamic Time Warping to Find Patterns in Time Series., Berndt, Donald J and Clifford, James, KDD workshop, 10, 16, 359–370, 1994, AAAI, http://www.aaai.org/Library/Workshops/1994/ws94-03-031.php
3. Rcpp: SeamlessRandC++Integration
4. Alcock, R. J. and Manolopoulos, Y. and Laboratory, Data Engineering and Informatics, Department Of, Time-series similarity queries employing a feature-based approach, In 7 th Hellenic Conference on Informatics, Ioannina, 1999, 27–29
5. Computing and Visualizing Dynamic Time Warping Alignments inR: ThedtwPackage