Search (1 results, page 1 of 1)

  • × author_ss:"Pottenger, W.M."
  • × language_ss:"e"
  • × theme_ss:"Data Mining"
  1. Wu, T.; Pottenger, W.M.: ¬A semi-supervised active learning algorithm for information extraction from textual data (2005) 0.01
    0.013170599 = product of:
      0.039511796 = sum of:
        0.039511796 = product of:
          0.07902359 = sum of:
            0.07902359 = weight(_text_:2005 in 3237) [ClassicSimilarity], result of:
              0.07902359 = score(doc=3237,freq=5.0), product of:
                0.20898072 = queryWeight, product of:
                  4.329179 = idf(docFreq=1583, maxDocs=44218)
                  0.048272602 = queryNorm
                0.37813818 = fieldWeight in 3237, product of:
                  2.236068 = tf(freq=5.0), with freq of:
                    5.0 = termFreq=5.0
                  4.329179 = idf(docFreq=1583, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3237)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.3, S.258-271
    Year
    2005