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

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.

1. Agrawal, R., Faloutsos, C., Swami, A.N., 1993. Efficient similarity search in sequence databases. In: Proceedings of the Fourth International Conference on Foundations of Data Organization and Algorithms, pp. 69–84.

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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