| M. Datar and S. Muthukrishnan. Estimating rarity and similarity over data stream windows. In ESA, 2002. |
....will demonstrate the utility of our representation on the classic data mining tasks of clustering, classification, query by content and anomaly detection. Keywords Time Series, Data Mining, Data Streams, Symbolic, Discretize 1. INTRODUCTION The parallel explosions of interest in streaming data [4, 8, 10, 18], and data mining of time series [6, 7, 9, 20, 21, 24, 26, 34] have had surprisingly little intersection. This is in spite of the fact that time series data are typically streaming data, for example, stock value, medical and meteorological data [30] The main reason for this apparent paradox is ....
Datar, M. & Muthukrishnan, S. (2002). Estimating Rarity and Similarity over Data Stream Windows. In proceedings of the 10 'h European Symposium on Algorithms. Sep 17-21, Rome, Italy.
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M. Datar and S. Muthukrishnan. Estimating rarity and similarity over data stream windows. In ESA, 2002.
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M. Datar and S. Muthukrishnan, "Estimating rarity and similarity over data stream windows," 2002, vol. 2461 of LNCS, vol 2461, pp. 323--334.
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M. Datar and S. Muthukrishnan. Estimating rarity and similarity over data stream windows. In Proceedings of 10th Annual European Symposium on Algorithms, volume 2461 of Lecture Notes in Computer Science, pages 323--334, 2002.
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Datar, M., and Muthukrishnan, S. Estimating rarity and similarity over data stream windows. Technical report, 2001-21,, DIMACS, Nov. 2001.
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M. Datar and S. Muthukrishnan. Estimating rarity and similarity over data stream windows. Technical Report 2001-21, DIMACS Technical Report, November 2001.
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M. Datar and S. Muthukrishnan. Estimating rarity and similarity over data stream windows. Technical Report 2001-21, DIMACS Technical Report, November 2001.
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M. Datar and S. Muthukrishnan. Estimating rarity and similarity over data stream windows. Technical Report 2001-21, DIMACS Technical Report, November 2001.
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