Search (5 results, page 1 of 1)

Barthel, S.; Tönnies, S.; Balke, W.-T.: Large-scale experiments for mathematical document classification (2013) 0.02
```
0.023835853 = product of:
  0.047671705 = sum of:
    0.047671705 = product of:
      0.09534341 = sum of:
        0.09534341 = weight(_text_:e.g in 1056) [ClassicSimilarity], result of:
          0.09534341 = score(doc=1056,freq=4.0), product of:
            0.23393378 = queryWeight, product of:
              5.2168427 = idf(docFreq=651, maxDocs=44218)
              0.044842023 = queryNorm
            0.40756583 = fieldWeight in 1056, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              5.2168427 = idf(docFreq=651, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1056)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
```
Abstract

The ever increasing amount of digitally available information is curse and blessing at the same time. On the one hand, users have increasingly large amounts of information at their fingertips. On the other hand, the assessment and refinement of web search results becomes more and more tiresome and difficult for non-experts in a domain. Therefore, established digital libraries offer specialized collections with a certain degree of quality. This quality can largely be attributed to the great effort invested into semantic enrichment of the provided documents e.g. by annotating their documents with respect to a domain-specific taxonomy. This process is still done manually in many domains, e.g. chemistry CAS, medicine MeSH, or mathematics MSC. But due to the growing amount of data, this manual task gets more and more time consuming and expensive. The only solution for this problem seems to employ automated classification algorithms, but from evaluations done in previous research, conclusions to a real world scenario are difficult to make. We therefore conducted a large scale feasibility study on a real world data set from one of the biggest mathematical digital libraries, i.e. Zentralblatt MATH, with special focus on its practical applicability.

HaCohen-Kerner, Y. et al.: Classification using various machine learning methods and combinations of key-phrases and visual features (2016) 0.02

0.0151886875 = product of:
  0.030377375 = sum of:
    0.030377375 = product of:
      0.06075475 = sum of:
        0.06075475 = weight(_text_:22 in 2748) [ClassicSimilarity], result of:
          0.06075475 = score(doc=2748,freq=2.0), product of:
            0.15702912 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.044842023 = queryNorm
            0.38690117 = fieldWeight in 2748, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=2748)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date: 1. 2.2016 18:25:22

Zhu, W.Z.; Allen, R.B.: Document clustering using the LSI subspace signature model (2013) 0.01

0.009113212 = product of:
  0.018226424 = sum of:
    0.018226424 = product of:
      0.03645285 = sum of:
        0.03645285 = weight(_text_:22 in 690) [ClassicSimilarity], result of:
          0.03645285 = score(doc=690,freq=2.0), product of:
            0.15702912 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.044842023 = queryNorm
            0.23214069 = fieldWeight in 690, 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=690)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date: 23. 3.2013 13:22:36

Egbert, J.; Biber, D.; Davies, M.: Developing a bottom-up, user-based method of web register classification (2015) 0.01

0.009113212 = product of:
  0.018226424 = sum of:
    0.018226424 = product of:
      0.03645285 = sum of:
        0.03645285 = weight(_text_:22 in 2158) [ClassicSimilarity], result of:
          0.03645285 = score(doc=2158,freq=2.0), product of:
            0.15702912 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.044842023 = queryNorm
            0.23214069 = fieldWeight in 2158, 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=2158)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date: 4. 8.2015 19:22:04

Liu, R.-L.: ¬A passage extractor for classification of disease aspect information (2013) 0.01

0.0075943437 = product of:
  0.0151886875 = sum of:
    0.0151886875 = product of:
      0.030377375 = sum of:
        0.030377375 = weight(_text_:22 in 1107) [ClassicSimilarity], result of:
          0.030377375 = score(doc=1107,freq=2.0), product of:
            0.15702912 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.044842023 = queryNorm
            0.19345059 = fieldWeight in 1107, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1107)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date: 28.10.2013 19:22:57

Search (5 results, page 1 of 1)

Authors