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 …

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 …

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 …

Time series motifs are approximately repeated patterns foundwithin the data. Such motifs
have utility for many data mining algorithms, including rule-discovery, novelty-detection …

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 …

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 …

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 …

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 …

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 …

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 …