Schmid, J.: Data mining : wie finde ich in Datensammlungen entscheidungsrelevante Muster? (1999)
0.04
0.038035594 = product of:
0.07607119 = sum of:
0.07607119 = product of:
0.114106774 = sum of:
0.043292392 = weight(_text_:h in 4540) [ClassicSimilarity], result of:
0.043292392 = score(doc=4540,freq=2.0), product of:
0.11265446 = queryWeight, product of:
2.4844491 = idf(docFreq=10020, maxDocs=44218)
0.04534384 = queryNorm
0.38429362 = fieldWeight in 4540, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.4844491 = idf(docFreq=10020, maxDocs=44218)
0.109375 = fieldNorm(doc=4540)
0.070814386 = weight(_text_:j in 4540) [ClassicSimilarity], result of:
0.070814386 = score(doc=4540,freq=2.0), product of:
0.14407988 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.04534384 = queryNorm
0.4914939 = fieldWeight in 4540, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.109375 = fieldNorm(doc=4540)
0.6666667 = coord(2/3)
0.5 = coord(1/2)
- Source
- ARBIDO. 14(1999) H.5, S.11-13
