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)
0.02
0.017707944 = product of:
0.035415888 = sum of:
0.035415888 = product of:
0.070831776 = sum of:
0.070831776 = weight(_text_:classification in 7744) [ClassicSimilarity], result of:
0.070831776 = score(doc=7744,freq=6.0), product of:
0.16603322 = queryWeight, product of:
3.1847067 = idf(docFreq=4974, maxDocs=44218)
0.05213454 = 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)
0.5 = coord(1/2)
- 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