Search (5 results, page 1 of 1)

  • × author_ss:"Yao, Y.Y."
  1. Wong, S.K.M.; Yao, Y.Y.: Query formulation in linear retrieval models (1990) 0.00
    3.854188E-4 = product of:
      0.0057812817 = sum of:
        0.003527615 = weight(_text_:in in 3571) [ClassicSimilarity], result of:
          0.003527615 = score(doc=3571,freq=2.0), product of:
            0.029340398 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.021569785 = queryNorm
            0.120230645 = fieldWeight in 3571, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.0625 = fieldNorm(doc=3571)
        0.002253667 = weight(_text_:s in 3571) [ClassicSimilarity], result of:
          0.002253667 = score(doc=3571,freq=2.0), product of:
            0.023451481 = queryWeight, product of:
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.021569785 = queryNorm
            0.09609913 = fieldWeight in 3571, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.0625 = fieldNorm(doc=3571)
      0.06666667 = coord(2/30)
    
    Source
    Journal of the American Society for Information Science. 41(1990) no.5, S.334-341
  2. Lingras, P.J.; Yao, Y.Y.: Data mining using extensions of the rough set model (1998) 0.00
    3.3724142E-4 = product of:
      0.005058621 = sum of:
        0.0030866629 = weight(_text_:in in 2910) [ClassicSimilarity], result of:
          0.0030866629 = score(doc=2910,freq=2.0), product of:
            0.029340398 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.021569785 = queryNorm
            0.10520181 = fieldWeight in 2910, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2910)
        0.0019719584 = weight(_text_:s in 2910) [ClassicSimilarity], result of:
          0.0019719584 = score(doc=2910,freq=2.0), product of:
            0.023451481 = queryWeight, product of:
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.021569785 = queryNorm
            0.08408674 = fieldWeight in 2910, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2910)
      0.06666667 = coord(2/30)
    
    Abstract
    Examines basic issues of data mining using the theory of rough sets, which is a recent proposal for generalizing classical set theory. The Pawlak rough set model is based on the concept of an equivalence relation. A generalized rough set model need not be based on equivalence relation axioms. The Pawlak rough set model has been used for deriving deterministic as well as probabilistic rules froma complete database. Demonstrates that a generalised rough set model can be used for generating rules from incomplete databases. These rules are based on plausability functions proposed by Shafer. Discusses the importance of rule extraction from incomplete databases in data mining
    Source
    Journal of the American Society for Information Science. 49(1998) no.5, S.415-422
  3. Wong, S.K.M.; Yao, Y.Y.: ¬An information-theoretic measure of term specifics (1992) 0.00
    1.138511E-4 = product of:
      0.0034155329 = sum of:
        0.0034155329 = weight(_text_:s in 4807) [ClassicSimilarity], result of:
          0.0034155329 = score(doc=4807,freq=6.0), product of:
            0.023451481 = queryWeight, product of:
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.021569785 = queryNorm
            0.14564252 = fieldWeight in 4807, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4807)
      0.033333335 = coord(1/30)
    
    Abstract
    The inverse document frequency (IDF) and signal-noise ratio (S/N) approaches are term weighting schemes based on term specifics. However, the existing justifications for these methods are still some what inconclusive and sometimes even based on incompatible assumptions. Introduces an information-theoretic measure for term specifics. Shows that the IDF weighting scheme can be derived from the proposed approach by assuming that the frequency of occurrence of each index term is uniform within the set of documents containing the term. The information-theoretic interpretation of term specifics also establishes the relationship between the IDF and S/N methods
    Source
    Journal of the American Society for Information Science. 43(1992) no.1, S.54-61
  4. Wong, S.K.M.; Yao, Y.Y.; Salton, G.; Buckley, C.: Evaluation of an adaptive linear model (1991) 0.00
    7.512224E-5 = product of:
      0.002253667 = sum of:
        0.002253667 = weight(_text_:s in 4836) [ClassicSimilarity], result of:
          0.002253667 = score(doc=4836,freq=2.0), product of:
            0.023451481 = queryWeight, product of:
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.021569785 = queryNorm
            0.09609913 = fieldWeight in 4836, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.0625 = fieldNorm(doc=4836)
      0.033333335 = coord(1/30)
    
    Source
    Journal of the American Society for Information Science. 42(1991) no.10, S.723-730
  5. Yao, Y.Y.: Measuring retrieval effectiveness based on user preference of documents (1995) 0.00
    6.5731954E-5 = product of:
      0.0019719584 = sum of:
        0.0019719584 = weight(_text_:s in 1748) [ClassicSimilarity], result of:
          0.0019719584 = score(doc=1748,freq=2.0), product of:
            0.023451481 = queryWeight, product of:
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.021569785 = queryNorm
            0.08408674 = fieldWeight in 1748, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1748)
      0.033333335 = coord(1/30)
    
    Source
    Journal of the American Society for Information Science. 46(1995) no.2, S.133-145