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)
0.00
2.972191E-4 = product of:
0.005052725 = sum of:
0.005052725 = weight(_text_:in in 7744) [ClassicSimilarity], result of:
0.005052725 = score(doc=7744,freq=4.0), product of:
0.033961542 = queryWeight, product of:
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.024967048 = queryNorm
0.14877784 = fieldWeight in 7744, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.0546875 = fieldNorm(doc=7744)
0.05882353 = coord(1/17)
- 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