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Auflistung nach Autor:in "Hahmann, Martin"

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  • Journal
    Large-Scale Time Series Analytics
    (Datenbank-Spektrum: Vol. 19, No. 1, 2019) Hahmann, Martin; Hartmann, Claudio; Kegel, Lars; Lehner, Wolfgang
  • Konferenzbeitrag
    Touch it, mine it, view it, shape it
    (Datenbanksysteme für Business, Technologie und Web (BTW), 2011) Hahmann, Martin; Habich, Dirk; Lehner, Wolfgang
    To benefit from the large amounts of data, gathered in more and more application domains, analysis techniques like clustering have become a necessity. As their application expands, a lot of unacquainted users come into contact with these techniques. Unfortunately, most clustering approaches are complex and/or scenario specific, which makes clustering a challenging domain to access. In this demonstration, we want to present a clustering process, that can be used in a hands-on way.