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Mining time series with mine time

Moustakis Vasilis, Zabetakis Leonidas, Alexandros Kanterakis, George Potamias

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/76D2A6B1-E8EF-4B22-9A10-D110C6B2E3F9-
Αναγνωριστικόhttps://doi.org/10.1007/11752912_18-
Γλώσσαen-
ΤίτλοςMining time series with mine timeen
ΔημιουργόςMoustakis Vasilisen
ΔημιουργόςΜουστακης Βασιληςel
ΔημιουργόςZabetakis Leonidasen
ΔημιουργόςΖαμπετακης Λεωνιδαςel
ΔημιουργόςAlexandros Kanterakisen
ΔημιουργόςGeorge Potamiasen
ΕκδότηςSpringer Verlagen
ΠερίληψηWe present, Mine Time, a tool that supports discovery over time series data. Mine Time is realized by the introduction of novel algorithmic processes, which support assessment of coherence and similarity across timeseries data. The innovation comes from the inclusion of specific ‘control’ operations in the elaborated time-series matching metric. The final outcome is the clustering of time-series into similar-groups. Clustering is performed via the appropriate customization of a phylogeny-based clustering algorithm and tool. We demonstrate Mine Time via two experiments.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-04-
Ημερομηνία Δημοσίευσης2006-
Βιβλιογραφική ΑναφοράL. Koumakis, V. Moustakis, A. Kanterakis & G. Potamias, "Mining time series with Mine Time," in Theories, Models and Applications: 5th Hellenic Conference of AI Proceedings. Advances in Artificial Intelligence: Proceedings of the 4th Hellenic Conference, 2006, pp. 158 – 168, doi: 10.1007/11752912_18en

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