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Mining coherence in time series data

Moustakis Vasilis, George Potamias

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URIhttp://purl.tuc.gr/dl/dias/2F92C4FB-81D9-4EA5-8721-DF1DD6E92E1B-
Identifierhttp://users.ics.forth.gr/~potamias/home_page/p27.pdf-
Languageen-
TitleMining coherence in time series data en
CreatorMoustakis Vasilisen
CreatorΜουστακης Βασιληςel
CreatorGeorge Potamiasen
Content SummaryThis paper presents work on modeling coherence between time series data. Work is based on the elaboration of formula that computes the distance between time series. Based on the computed distances, the method exploits the closest neighbor algorithm and leads to the construction of a phylogeny-clustering tree. Using car sales data (available on the www) we demonstrate work done and present preliminary results. We discuss implications of the work performed in correlating time series data with documents including such data. en
Type of ItemΣύντομη Δημοσίευση σε Συνέδριοel
Type of ItemConference Short Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-05-
Date of Publication2001-
Bibliographic CitationG. Potamias, V. Moustakis, (2001, August). Mining coherence in time series data. Presented at Ninth International Conference on Human Computer Interaction: Symbiosis of Human and Artifact. [Online]. Available: http://users.ics.forth.gr/~potamias/home_page/p27.pdfen

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