15 citations · 23 across the 7 of their papers we have counts for
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cs.HC2019
SAX Navigator: Time Series Exploration through Hierarchical Clustering
Nicholas Ruta, Naoko Sawada, Katy McKeough +2
Comparing many long time series is challenging to do by hand. Clustering time series enables data analysts to discover relevance between and anomalies among multiple time series. H…
cs.LG2019★ 15 cited
FDive: Learning Relevance Models using Pattern-based Similarity Measures
Frederik L. Dennig, Tom Polk, Zudi Lin +3
The detection of interesting patterns in large high-dimensional datasets is difficult because of their dimensionality and pattern complexity. Therefore, analysts require automated…