HOT aSAX: A Novel Adaptive Symbolic Representation for Time Series Discords Discovery
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[1] Jian Pei,et al. WAT: Finding Top-K Discords in Time Series Database , 2007, SDM.
[2] S. P. Lloyd,et al. Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.
[3] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[4] Ada Wai-Chee Fu,et al. Efficient time series matching by wavelets , 1999, Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337).
[5] Clu-istos Foutsos,et al. Fast subsequence matching in time-series databases , 1994, SIGMOD '94.
[6] Li Wei,et al. Experiencing SAX: a novel symbolic representation of time series , 2007, Data Mining and Knowledge Discovery.
[7] Eamonn J. Keogh,et al. Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases , 2001, Knowledge and Information Systems.
[8] Eamonn J. Keogh,et al. HOT SAX: efficiently finding the most unusual time series subsequence , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).