A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering-Reference-Cited by-同舟云学术

A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering

Published:2005 Issue: Volume: Page:771-777
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
language:
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Author:

Ratanamahatana Chotirat,Keogh Eamonn,Bagnall Anthony J.,Lonardi Stefano

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11430919_90.pdf

Reference10 articles.

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2. Berndt, D., Clifford, J.: Using dynamic time warping to find patterns in time series. In: AAAI 1994 Workshop on Knowledge Discovery in Databases, pp. 229–248 (1994)

3. Keogh, E., Kasetty, S.: On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration. In: The 8th ACM SIGKDD, pp. 102–111 (2002)

4. Yi, B.K., Faloutsos, C.: Fast time sequence indexing for arbitrary Lp norms. In: VLDB, pp. 385–394 (2000)

5. Keogh, E., Lonardi, S., Ratanamahatana, C.: Towards Parameter-Free Data Mining. In: Proceedings of SIGKDD (2004)

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