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» Time series shapelets: a new primitive for data mining
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ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
14 years 1 months ago
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of a longer time series that are maximally different to all the r...
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
14 years 4 months ago
Optimal Distance Bounds on Time-Series Data.
Most data mining operations include an integral search component at their core. For example, the performance of similarity search or classification based on Nearest Neighbors is ...
Michail Vlachos, Philip S. Yu, Suleyman S. Kozat
GFKL
2005
Springer
133views Data Mining» more  GFKL 2005»
14 years 1 months ago
Finding Persisting States for Knowledge Discovery in Time Series
Abstract. Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the ...
Fabian Mörchen, Alfred Ultsch
SDM
2004
SIAM
214views Data Mining» more  SDM 2004»
13 years 9 months ago
Making Time-Series Classification More Accurate Using Learned Constraints
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
DMKD
2003
ACM
148views Data Mining» more  DMKD 2003»
14 years 26 days ago
A symbolic representation of time series, with implications for streaming algorithms
The parallel explosions of interest in streaming data, and data mining of time series have had surprisingly little intersection. This is in spite of the fact that time series data...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Bil...