Applying Trie-Structure to Improve Dynamic Time Warping onTime-Series Stock Data Analysis

A.-P. Chen, Y.-C. Chen, and C.-Y. Yeh (Taiwan)


Dynamic Time Warping, Stock Data, Time-series data, Trie-Structure.


Dynamic time warping (DTW) is a robust but time-consuming on distance measure for time-series data similarity search. To speed up DTW for time-series data analysis, a new approach with trie-structure is introduced for the process of the DTW recognition steps, such as in financial stock pattern analysis. The final result shows that searching time has been reduced by this approach while applying trie-structure to DTW on time-series data analysis, especially on stock data.

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