Add to ORKGMotif discovery and analysis in time series data-sets have a wide-range of applications from genomics to finance. In consequence, development and critical evaluation of these algorithms is required with the focus not just detection but rather evaluation and interpretation of overall significance. Our focus here is the specific algorithm, VALMOD, but algorithms in wide use for motif discovery are summarised and briefly compared, as well as typical evaluation methods with strengths. Additionally, Taxonomy diagrams for motif discovery and evaluation techniques are constructed to illustrate the relationship between different approaches as well as inter-dependencies. Finally evaluation measures based upon results obtained from VALMOD analysis of...
Time series motif discovery is an important problem with applications in a variety of areas that ran...
In recent years, time series motif discovery has emerged as perhaps the most important primitive for...
<p>A. Each graph shows the motif detection accuracy (y-axis) as a function of the number of sequence...
Motif discovery and analysis in time series data-sets have a wide-range of applications from genomic...
The search for patterns or motifs in data represents a problem area of key interest to finance and e...
Time series motif discovery is the task of extracting previously unknown recurrent patterns from tim...
The Matrix Profile (MP) algorithm has the potential to revolutionise many areas of data analysis. In...
Time series motifs are approximately repeated patterns found within the data. Such motifs have utili...
The search for patterns or motifs in data represents an area of key interest to many researchers. In...
Last decades witness a huge growth in medical applications, genetic analysis,and in performance of m...
Time-series motifs are representative subsequences that occur frequently in a time series; a motif s...
The problem of discovering previously unknown frequent patterns in time series, also called motifs, ...
The detection of very similar patterns in a time series, commonly called motifs, has received contin...
Abstract—Time-series motifs are representative subsequences that occur frequently in a time series; ...
In many time series data mining problems, the analysis can be reduced to frequent pattern mining. Sp...
Time series motif discovery is an important problem with applications in a variety of areas that ran...
In recent years, time series motif discovery has emerged as perhaps the most important primitive for...
<p>A. Each graph shows the motif detection accuracy (y-axis) as a function of the number of sequence...
Motif discovery and analysis in time series data-sets have a wide-range of applications from genomic...
The search for patterns or motifs in data represents a problem area of key interest to finance and e...
Time series motif discovery is the task of extracting previously unknown recurrent patterns from tim...
The Matrix Profile (MP) algorithm has the potential to revolutionise many areas of data analysis. In...
Time series motifs are approximately repeated patterns found within the data. Such motifs have utili...
The search for patterns or motifs in data represents an area of key interest to many researchers. In...
Last decades witness a huge growth in medical applications, genetic analysis,and in performance of m...
Time-series motifs are representative subsequences that occur frequently in a time series; a motif s...
The problem of discovering previously unknown frequent patterns in time series, also called motifs, ...
The detection of very similar patterns in a time series, commonly called motifs, has received contin...
Abstract—Time-series motifs are representative subsequences that occur frequently in a time series; ...
In many time series data mining problems, the analysis can be reduced to frequent pattern mining. Sp...
Time series motif discovery is an important problem with applications in a variety of areas that ran...
In recent years, time series motif discovery has emerged as perhaps the most important primitive for...
<p>A. Each graph shows the motif detection accuracy (y-axis) as a function of the number of sequence...