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Show Me Your Friends and I'll Tell You Who You Are. Finding Anomalous Time Series by Conspicuous Cluster Transitions.

, , , and . AusDM, volume 1127 of Communications in Computer and Information Science, page 91-103. Springer, (2019)

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Clustering of Time Series Regarding Their Over-Time Stability., , and . SSCI, page 1051-1058. IEEE, (2020)Cluster-based stability evaluation in time series data sets., , and . Appl. Intell., 53 (13): 16606-16629 (July 2023)Loners Stand Out. Identification of Anomalous Subsequences Based on Group Performance., , and . ADMA, volume 12447 of Lecture Notes in Computer Science, page 360-369. Springer, (2020)Behave or Be Detected! Identifying Outlier Sequences by Their Group Cohesion., , and . DaWaK, volume 12393 of Lecture Notes in Computer Science, page 333-347. Springer, (2020)Approaches for the Improvement of the Multilabel Multiclass Classification with a Huge Number of Classes.. Grundlagen von Datenbanken, volume 2126 of CEUR Workshop Proceedings, page 65-70. CEUR-WS.org, (2018)Fuzzy Clustering Stability Evaluation of Time Series., , , and . IPMU (1), volume 1237 of Communications in Computer and Information Science, page 680-692. Springer, (2020)Show Me Your Friends and I'll Tell You Who You Are. Finding Anomalous Time Series by Conspicuous Cluster Transitions., , , and . AusDM, volume 1127 of Communications in Computer and Information Science, page 91-103. Springer, (2019)