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» Subsequence Matching on Structured Time Series Data
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ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
14 years 29 days 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
ICDM
2003
IEEE
240views Data Mining» more  ICDM 2003»
14 years 19 days ago
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
Eamonn J. Keogh, Jessica Lin, Wagner Truppel
ICDM
2007
IEEE
227views Data Mining» more  ICDM 2007»
14 years 1 months ago
Optimal Subsequence Bijection
We consider the problem of elastic matching of sequences of real numbers. Since both a query and a target sequence may be noisy, i.e., contain some outlier elements, it is desirab...
Longin Jan Latecki, Qiang Wang, Suzan Koknar-Tezel...
ICDE
2007
IEEE
183views Database» more  ICDE 2007»
14 years 8 months ago
SpADe: On Shape-based Pattern Detection in Streaming Time Series
Monitoring predefined patterns in streaming time series is useful to applications such as trend-related analysis, sensor networks and video surveillance. Most current studies on s...
Yueguo Chen, Mario A. Nascimento, Beng Chin Ooi, A...
SDM
2010
SIAM
202views Data Mining» more  SDM 2010»
13 years 5 months ago
Multiresolution Motif Discovery in Time Series
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...
Nuno Castro, Paulo J. Azevedo