Benoit, G.: Data discretization for novel relationship discovery in information retrieval (2002)
0.00
0.00270615 = product of:
0.0054123 = sum of:
0.0054123 = product of:
0.0108246 = sum of:
0.0108246 = weight(_text_:a in 5197) [ClassicSimilarity], result of:
0.0108246 = score(doc=5197,freq=8.0), product of:
0.053105544 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046056706 = queryNorm
0.20383182 = fieldWeight in 5197, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0625 = fieldNorm(doc=5197)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- A sample of 600 Dialog and Swiss-Prot full text records in genetics and molecular biology were parsed and term frequencies calculated to provide data for a test of Benoit's visualization model for retrieval. A retrieved set is displayed graphically allowing for manipulation of document and concept relationships in real time, which hopefully will reveal unanticipated relationships.
- Type
- a