Search (1 results, page 1 of 1)

  • × author_ss:"Dittrich, S."
  • × theme_ss:"Case Based Reasoning"
  1. Althoff, K.-D.; Wess, S.; Manago, M.; Bergmann, R.; Maurer, F.; Auriol, E.; Conruyt, N.; Traphöner, R.; Bräuer, M.; Dittrich, S.: Induction and case-based reasoning for classification tasks (1994) 0.01
    0.01151038 = product of:
      0.03453114 = sum of:
        0.03453114 = product of:
          0.06906228 = sum of:
            0.06906228 = weight(_text_:classification in 7744) [ClassicSimilarity], result of:
              0.06906228 = score(doc=7744,freq=6.0), product of:
                0.16188543 = queryWeight, product of:
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.05083213 = queryNorm
                0.42661208 = fieldWeight in 7744, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=7744)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    We present 2 techniques for reasoning from cases to solve classification tasks: induction and case-based reasoning. We contrast the 2 technologies (that are often confused) and show how they complement each other. Based on this, we describe how they are integrated in one single platform for reasoning from cases: the INRECA system
    Series
    Studies in classification, data analysis, and knowledge organization