An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data

Author:

Keogh Eamonn,Hochheiser Harry,Shneiderman Ben

Publisher

Springer Berlin Heidelberg

Reference20 articles.

1. R. Agrawal, K.-I. Lin, H. S. Sawhney, and K. Shim. Fast similarity search in the presence of noise, scaling, and translation in time-series databases. The VLDB Journal, pages 490–501, 1995.

2. R. Agrawal, G. Psaila, E. L. Wimmers, and M. Zait. Querying shapes of histories. Proceedings of the 21 st International Conference on Very Large Databases, pages 502–514, 1995.

3. R. Agrawal and R. Srikant. Mining sequential patterns. In P. S. Yu and A. L. P. Chen, editors, Proceedings 11 th International Conference on Data Engineering, ICDE, pages 3–14, Taipei Tawian, March 1995. IEEE Press.

4. B. Bederson, J. Meyer, and L. Good. Jazz: An extensible zoomable user interface graphics toolkit in java, November 2000.

5. D. J. Berndt and J. Clifford. Finding patterns in time series: A dynamic programming approach. In Advances in Knowledge Discovery and Data Mining, pages 229–248. AAAIPress/MIT Press, 1996.

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