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Detection and Implicit Classification of Outliers via Different Feature Sets in Polygonal Chains.

, , , и . BTW, том P-265 из LNI, стр. 237-246. GI, (2017)

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Cluster-based stability evaluation in time series data sets., , и . Appl. Intell., 53 (13): 16606-16629 (июля 2023)Behave or Be Detected! Identifying Outlier Sequences by Their Group Cohesion., , и . DaWaK, том 12393 из Lecture Notes in Computer Science, стр. 333-347. Springer, (2020)Illuminating the Predictive Power of Gamification to Inspire Technology Users., , , и . MuC (Workshopband), Gesellschaft für Informatik e.V., (2023)Shape Based Outlier Detection in SLIC Superpixels., и . Grundlagen von Datenbanken, том 1858 из CEUR Workshop Proceedings, стр. 60-65. CEUR-WS.org, (2017)Overcoming Inefficiency in Public Procurement: An OpenData Approach., , , и . GI-Jahrestagung, том P-337 из LNI, стр. 1097-1102. Gesellschaft für Informatik, Bonn, (2023)Loners Stand Out. Identification of Anomalous Subsequences Based on Group Performance., , и . ADMA, том 12447 из Lecture Notes in Computer Science, стр. 360-369. Springer, (2020)Clustering of Time Series Regarding Their Over-Time Stability., , и . SSCI, стр. 1051-1058. IEEE, (2020)Show Me Your Friends and I'll Tell You Who You Are. Finding Anomalous Time Series by Conspicuous Cluster Transitions., , , и . AusDM, том 1127 из Communications in Computer and Information Science, стр. 91-103. Springer, (2019)Pattern Discovery in Time Series.. University of Düsseldorf, Germany, (2021)Fuzzy Clustering Stability Evaluation of Time Series., , , и . IPMU (1), том 1237 из Communications in Computer and Information Science, стр. 680-692. Springer, (2020)