Search (1 results, page 1 of 1)

Did you mean:
author's%3a%22Gilliland-swetland%2c A.%22 1
author's%3a%22Gilliland-scotland%2c A.%22 1
authors%3a%22Gilliland-swetland%2c A.%22 1
author's%3a%22Gilliland-seland%2c A.%22 1
authors%3a%22Gilliland-scotland%2c A.%22 1

Benoit, G.: Data discretization for novel relationship discovery in information retrieval (2002) 0.00

0.0024318986 = product of:
  0.004863797 = sum of:
    0.004863797 = product of:
      0.009727594 = sum of:
        0.009727594 = weight(_text_:a in 5197) [ClassicSimilarity], result of:
          0.009727594 = score(doc=5197,freq=8.0), product of:
            0.04772363 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.041389145 = 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