Clustering Time Series with Clipped Data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s10994-005-5825-6.pdf
Reference23 articles.
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3. Aref, W., Elfeky, M., & Elmagarmid, A. (2004). Incremental, online and merge mining of partial periodic patterns in time-series databases. IEEE Transactions on Knowledge and Data Engineering, 16:3, 332-342.
4. Agrawal, R., Faloutsos, C., & Swami., A. N. (1993). Efficient similarity search In sequence databases. In Proceedings of the 4th International Conference of Foundations of Data Organization and Algorithms (FODO) (pp. 69?84).
5. Bagnall, A. J., & Smith, G. D. (2000). Game playing with autonomous adaptive agents in a simplified economic model of the UK market in electricity generation. In Proceedings of IEEE-PES/CSEE International Conference on Power System Technology POWERCON 2000 (pp. 891?896).
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