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
0.00622365 = product of:
0.01867095 = sum of:
0.01867095 = weight(_text_:on in 7744) [ClassicSimilarity], result of:
0.01867095 = score(doc=7744,freq=2.0), product of:
0.109763056 = queryWeight, product of:
2.199415 = idf(docFreq=13325, maxDocs=44218)
0.04990557 = queryNorm
0.17010231 = fieldWeight in 7744, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.199415 = idf(docFreq=13325, maxDocs=44218)
0.0546875 = fieldNorm(doc=7744)
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