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 rest …
discords are subsequences of a longer time series that are maximally different to all the rest …
Exact discovery of time series motifs
Time series motifs are pairs of individual time series, or subsequences of a longer time
series, which are very similar to each other. As with their discrete analogues in …
series, which are very similar to each other. As with their discrete analogues in …
Finding the most unusual time series subsequence: algorithms and applications
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 of …
discords are subsequences of longer time series that are maximally different to all the rest of …
Detecting time series motifs under uniform scaling
Time series motifs are approximately repeated patterns foundwithin the data. Such motifs
have utility for many data mining algorithms, including rule-discovery, novelty-detection …
have utility for many data mining algorithms, including rule-discovery, novelty-detection …
Saxually explicit images: Finding unusual shapes
L Wei, E Keogh, X Xi - … Conference on Data Mining (ICDM'06), 2006 - ieeexplore.ieee.org
Over the past three decades, there has been a great deal of research on shape analysis,
focusing mostly on shape indexing, clustering, and classification. In this work, we introduce …
focusing mostly on shape indexing, clustering, and classification. In this work, we introduce …
Visualizing variable-length time series motifs
The problem of time series motif discovery has received a lot of attention from researchers in
the past decade. Most existing work on finding time series motifs require that the length of …
the past decade. Most existing work on finding time series motifs require that the length of …
Finding unusual medical time-series subsequences: Algorithms and applications
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 of …
discords are subsequences of longer time series that are maximally different to all the rest of …
Finding time series motifs in disk-resident data
Time series motifs are sets of very similar subsequences of a long time series. They are of
interest in their own right, and are also used as inputs in several higher-level data mining …
interest in their own right, and are also used as inputs in several higher-level data mining …
Finding motifs in a database of shapes
X Xi, E Keogh, L Wei, A Mafra-Neto - Proceedings of the 2007 SIAM …, 2007 - SIAM
The problem of efficiently finding images that are similar to a target image has attracted
much attention in the image processing community and is rightly considered an information …
much attention in the image processing community and is rightly considered an information …
Discovery of variable length time series motif
P Nunthanid, V Niennattrakul… - The 8th Electrical …, 2011 - ieeexplore.ieee.org
One significant task in time series mining research area is motif discovery which is the first
step needed to be done in finding interesting patterns in time series sequence. Recently …
step needed to be done in finding interesting patterns in time series sequence. Recently …