Visual exploration of frequent patterns in multivariate time series
نویسندگان
چکیده
منابع مشابه
Visual exploration of frequent patterns in multivariate time series
The detection of frequently occurring patterns, also called motifs, in data streams has been recognized as an important task. To find these motifs, we use an advanced event encoding and pattern discovery algorithm. As a large time series can contain hundreds of motifs, there is a need to support interactive analysis and exploration. In addition, for certain applications, such as data center res...
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The detection of previously unknown, frequently occurring patterns in time series, often called motifs, has been recognized as an important task. However, it is difficult to discover and visualize these motifs as their numbers increase, especially in large multivariate time series. To find frequent motifs, we use several temporal data mining and event encoding techniques to cluster and convert ...
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ژورنال
عنوان ژورنال: Information Visualization
سال: 2012
ISSN: 1473-8716,1473-8724
DOI: 10.1177/1473871611430769