Stock time series pattern matching: Template-based vs. rule-based approaches-Reference-Cited by-同舟云学术

Stock time series pattern matching: Template-based vs. rule-based approaches

Published:2007-04 Issue:3 Volume:20 Page:347-364
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Fu Tak-chung,Chung Fu-lai,Luk Robert,Ng Chak-man

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference12 articles.

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2. Berndt, D.J., Clifford, J. 1994. Using dynamic time warping to find patterns in time series. In: Working Notes of the Knowledge Discovery in Databases Workshop, pp. 359–370.

3. Chan, K.P., Fu, A.C. 1999. Efficient Time Series Matching by Wavelets. Proceedings of the 15th International Conference on Data Engineering (ICDE), pp. 126–133.

4. Chung, F.L., Fu, T.C., Luk, R., Ng, V. 2001. Flexible time series pattern matching based on perceptually important points. In: International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Learning from Temporal and Spatial Data, pp. 1–7.

5. Das, G., Gunopulos, D., Mannila, H. 1997. Finding similar time series. In: Proceedings of the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), pp. 88–95.

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