@inproceedings{dc249d1693444a4c9bf437b860524c56,
title = "Applying trie-structure to improve dynamic time warping on time-series stock data analysis",
abstract = "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.",
keywords = "Dynamic time warping, Stock data, Time-series data, Trie-structure",
author = "An-Pin Chen and Chen, {Yi Chang} and Yeh, {Chih Yen}",
year = "2004",
language = "American English",
isbn = "088986375X",
series = "Proceedings of the IASTED International Conference. Applied Informatics",
pages = "31--36",
editor = "M.H. Hamza",
booktitle = "Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics)",
note = "Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics ; Conference date: 16-02-2004 Through 18-02-2004",
}