Search (3 results, page 1 of 1)

  • × theme_ss:"Computerlinguistik"
  • × theme_ss:"Automatisches Klassifizieren"
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.07 
    0.07232786 = sum of:
  0.053926993 = product of:
    0.21570797 = sum of:
      0.21570797 = weight(_text_:3a in 562) [ClassicSimilarity], result of:
        0.21570797 = score(doc=562,freq=2.0), product of:
          0.3838097 = queryWeight, product of:
            8.478011 = idf(docFreq=24, maxDocs=44218)
            0.045271195 = queryNorm
          0.56201804 = fieldWeight in 562, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            8.478011 = idf(docFreq=24, maxDocs=44218)
            0.046875 = fieldNorm(doc=562)
    0.25 = coord(1/4)
  0.018400865 = product of:
    0.03680173 = sum of:
      0.03680173 = weight(_text_:22 in 562) [ClassicSimilarity], result of:
        0.03680173 = score(doc=562,freq=2.0), product of:
          0.15853201 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.045271195 = queryNorm
          0.23214069 = fieldWeight in 562, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=562)
    0.5 = coord(1/2)
    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  2. Zhang, X: Rough set theory based automatic text categorization (2005) 0.03 
    0.025226025 = product of:
  0.05045205 = sum of:
    0.05045205 = product of:
      0.1009041 = sum of:
        0.1009041 = weight(_text_:x in 2822) [ClassicSimilarity], result of:
          0.1009041 = score(doc=2822,freq=4.0), product of:
            0.19116588 = queryWeight, product of:
              4.2226825 = idf(docFreq=1761, maxDocs=44218)
              0.045271195 = queryNorm
            0.5278353 = fieldWeight in 2822, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.2226825 = idf(docFreq=1761, maxDocs=44218)
              0.0625 = fieldNorm(doc=2822)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Isbn
    3-8206-0149-X
  3. Peng, F.; Huang, X.: Machine learning for Asian language text classification (2007) 0.01 
    0.011148433 = product of:
  0.022296866 = sum of:
    0.022296866 = product of:
      0.044593733 = sum of:
        0.044593733 = weight(_text_:x in 831) [ClassicSimilarity], result of:
          0.044593733 = score(doc=831,freq=2.0), product of:
            0.19116588 = queryWeight, product of:
              4.2226825 = idf(docFreq=1761, maxDocs=44218)
              0.045271195 = queryNorm
            0.23327245 = fieldWeight in 831, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.2226825 = idf(docFreq=1761, maxDocs=44218)
              0.0390625 = fieldNorm(doc=831)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Authors

Types