Search (2 results, page 1 of 1)

  • × subject_ss:"Text Mining / Aufsatzsammlung"
  1. Survey of text mining : clustering, classification, and retrieval (2004) 0.01
    0.0073026326 = product of:
      0.014605265 = sum of:
        0.014605265 = product of:
          0.02921053 = sum of:
            0.02921053 = weight(_text_:classification in 804) [ClassicSimilarity], result of:
              0.02921053 = score(doc=804,freq=2.0), product of:
                0.16603322 = queryWeight, product of:
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.05213454 = queryNorm
                0.17593184 = fieldWeight in 804, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=804)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
  2. Mining text data (2012) 0.01
    0.0058421064 = product of:
      0.011684213 = sum of:
        0.011684213 = product of:
          0.023368426 = sum of:
            0.023368426 = weight(_text_:classification in 362) [ClassicSimilarity], result of:
              0.023368426 = score(doc=362,freq=2.0), product of:
                0.16603322 = queryWeight, product of:
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.05213454 = queryNorm
                0.14074548 = fieldWeight in 362, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.03125 = fieldNorm(doc=362)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Content
    Inhalt: An Introduction to Text Mining.- Information Extraction from Text.- A Survey of Text Summarization Techniques.- A Survey of Text Clustering Algorithms.- Dimensionality Reduction and Topic Modeling.- A Survey of Text Classification Algorithms.- Transfer Learning for Text Mining.- Probabilistic Models for Text Mining.- Mining Text Streams.- Translingual Mining from Text Data.- Text Mining in Multimedia.- Text Analytics in Social Media.- A Survey of Opinion Mining and Sentiment Analysis.- Biomedical Text Mining: A Survey of Recent Progress.- Index.