Search (42 results, page 3 of 3)

  • × language_ss:"d"
  • × theme_ss:"Automatisches Klassifizieren"
  1. Greiner, G.: Intellektuelles und automatisches Klassifizieren (1981) 0.00
    0.0031791355 = product of:
      0.038149625 = sum of:
        0.019074813 = weight(_text_:und in 1103) [ClassicSimilarity], result of:
          0.019074813 = score(doc=1103,freq=2.0), product of:
            0.04868482 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.021966046 = queryNorm
            0.39180204 = fieldWeight in 1103, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.125 = fieldNorm(doc=1103)
        0.019074813 = weight(_text_:und in 1103) [ClassicSimilarity], result of:
          0.019074813 = score(doc=1103,freq=2.0), product of:
            0.04868482 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.021966046 = queryNorm
            0.39180204 = fieldWeight in 1103, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.125 = fieldNorm(doc=1103)
      0.083333336 = coord(2/24)
    
  2. Braun, T.: Dokumentklassifikation durch Clustering (o.J.) 0.00
    5.045699E-4 = product of:
      0.012109677 = sum of:
        0.012109677 = weight(_text_:der in 1671) [ClassicSimilarity], result of:
          0.012109677 = score(doc=1671,freq=2.0), product of:
            0.049067024 = queryWeight, product of:
              2.2337668 = idf(docFreq=12875, maxDocs=44218)
              0.021966046 = queryNorm
            0.2467987 = fieldWeight in 1671, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.2337668 = idf(docFreq=12875, maxDocs=44218)
              0.078125 = fieldNorm(doc=1671)
      0.041666668 = coord(1/24)
    
    Abstract
    Beim Clustering werden Dokumente aufgrund von Ähnlichkeiten untereinander klassifiziert, im Gegensatz z.B. zur Klassifikation anhand einer Ontologie. Bei den gebräuchlichen Clusteringverfahren wird ein Dokument als die Menge seiner Wörter angesehen. Zur Bestimmung der Ähnlichkeit zwischen Dokumenten werden verschiedene Ähnlichkeitsmaße definiert.