Original paper
Cluster sequence mining from event sequence data and its application to damage correlation analysis
Abstract
We propose a novel mining algorithm called cluster sequence mining (CSM) to extract cluster pairs with occurrence correlation from event sequence data. CSM extracts patterns with a pair of clusters that satisfies space proximity of the individual clusters and temporal proximity between events from different clusters in time intervals. CSM extends a unique co-occurring cluster mining (CCM) algorithm by considering the order of event occurrences...
Paper Details
Title
Cluster sequence mining from event sequence data and its application to damage correlation analysis
Published Date
Sep 1, 2019
Journal
Volume
179
Pages
136 - 144
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Notes
History