Schmid, J.: Data mining : wie finde ich in Datensammlungen entscheidungsrelevante Muster? (1999)
0.03
0.025008604 = product of:
0.06252151 = sum of:
0.03945136 = weight(_text_:h in 4540) [ClassicSimilarity], result of:
0.03945136 = score(doc=4540,freq=2.0), product of:
0.10265943 = queryWeight, product of:
2.4844491 = idf(docFreq=10020, maxDocs=44218)
0.0413208 = 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)
0.02307015 = weight(_text_:d in 4540) [ClassicSimilarity], result of:
0.02307015 = score(doc=4540,freq=2.0), product of:
0.07850423 = queryWeight, product of:
1.899872 = idf(docFreq=17979, maxDocs=44218)
0.0413208 = queryNorm
0.29387143 = fieldWeight in 4540, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.899872 = idf(docFreq=17979, maxDocs=44218)
0.109375 = fieldNorm(doc=4540)
0.4 = coord(2/5)
- Language
- d
- Source
- ARBIDO. 14(1999) H.5, S.11-13
