Sep 1, 2019 · We propose a novel mining algorithm called cluster sequence mining (CSM) to extract cluster pairs with occurrence correlation from event sequence data.
Oct 22, 2024 · We propose a novel mining algorithm called cluster sequence mining (CSM) to extract cluster pairs with occurrence correlation from event ...
We propose a novel mining algorithm called cluster sequence mining (CSM) to extract cluster pairs with occurrence correlation from event sequence data.
摘要. We propose a novel mining algorithm called cluster sequence mining (CSM) to extract cluster pairs with occurrence correlation from event sequence data ...
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In this study, we research the mechanical correlations among components of solid oxide fuel cell (SOFC) by analyzing the co-occurrence of acoustic emission ...
Jun 27, 2018 · One useful way to frame the problem is as time-series clustering. Almost all clustering algorithms have a time-series version (eg, k-means and hierarchical).
Missing: damage correlation analysis.
Cluster sequence mining from event sequence data and its application to damage correlation analysis · Engineering, Computer Science. Knowledge-Based Systems.
Apr 24, 2023 · I am confused about how to set up my data for sequence and cluster analysis using the Sq-Ados package (SSC, Brzinsky-Fay & Kohler, 2006).
Missing: mining event correlation
We propose an approach which clusters event sequences. Each cluster consists of similar sequences and the challenge is to identify a similarity measure.
Missing: damage correlation
Apr 20, 2019 · Probably you will first compute dissimilarities between aligned sequences, and then input the pairwise dissimilarities into a cluster algorithm.
Missing: damage | Show results with:damage