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Mining time series with mine time

Moustakis Vasilis, Zabetakis Leonidas, Alexandros Kanterakis, George Potamias

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URIhttp://purl.tuc.gr/dl/dias/76D2A6B1-E8EF-4B22-9A10-D110C6B2E3F9-
Identifierhttps://doi.org/10.1007/11752912_18-
Languageen-
TitleMining time series with mine timeen
CreatorMoustakis Vasilisen
CreatorΜουστακης Βασιληςel
CreatorZabetakis Leonidasen
CreatorΖαμπετακης Λεωνιδαςel
CreatorAlexandros Kanterakisen
CreatorGeorge Potamiasen
PublisherSpringer Verlagen
Content SummaryWe 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
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-04-
Date of Publication2006-
Bibliographic CitationL. 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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