Sciweavers

21 search results - page 1 / 5
» Finding the most unusual time series subsequence: algorithms...
Sort
View
KAIS
2007
117views more  KAIS 2007»
13 years 4 months ago
Finding the most unusual time series subsequence: algorithms and applications
Eamonn J. Keogh, Jessica Lin, Sang-Hee Lee, Helga ...
ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
13 years 10 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
CBMS
2005
IEEE
13 years 10 months ago
Approximations to Magic: Finding Unusual Medical Time Series
In this work we introduce the new problem of finding time series discords. Time series discords are subsequences of longer time series that are maximally different to all the rest...
Jessica Lin, Eamonn J. Keogh, Ada Wai-Chee Fu, Hel...
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
13 years 11 months ago
Disk Aware Discord Discovery: Finding Unusual Time Series in Terabyte Sized Datasets
The problem of finding unusual time series has recently attracted much attention, and several promising methods are now in the literature. However, virtually all proposed methods...
Dragomir Yankov, Eamonn J. Keogh, Umaa Rebbapragad...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 7 months ago
Searching and mining trillions of time series subsequences under dynamic time warping
Most time series data mining algorithms use similarity search as a core subroutine, and thus the time taken for similarity search is the bottleneck for virtually all time series d...
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdul...