Search (3 results, page 1 of 1)

0.018784717 = product of:
  0.037569433 = sum of:
    0.037569433 = product of:
      0.07513887 = sum of:
        0.07513887 = weight(_text_:2.0 in 362) [ClassicSimilarity], result of:
          0.07513887 = score(doc=362,freq=2.0), product of:
            0.29315117 = queryWeight, product of:
              5.799733 = idf(docFreq=363, maxDocs=44218)
              0.050545633 = queryNorm
            0.2563144 = fieldWeight in 362, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.799733 = idf(docFreq=363, maxDocs=44218)
              0.03125 = fieldNorm(doc=362)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.

0.012106084 = product of:
  0.024212169 = sum of:
    0.024212169 = product of:
      0.048424337 = sum of:
        0.048424337 = weight(_text_:22 in 1949) [ClassicSimilarity], result of:
          0.048424337 = score(doc=1949,freq=4.0), product of:
            0.17700219 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050545633 = queryNorm
            0.27358043 = fieldWeight in 1949, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1949)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Classification

004.67/8 22

DDC

004.67/8 22

0.009684867 = product of:
  0.019369734 = sum of:
    0.019369734 = product of:
      0.03873947 = sum of:
        0.03873947 = weight(_text_:22 in 2753) [ClassicSimilarity], result of:
          0.03873947 = score(doc=2753,freq=4.0), product of:
            0.17700219 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050545633 = queryNorm
            0.21886435 = fieldWeight in 2753, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03125 = fieldNorm(doc=2753)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

This book constitutes the thoroughly refereed post-conference proceedings of the First COST Action IC1302 International KEYSTONE Conference on semantic Keyword-based Search on Structured Data Sources, IKC 2015, held in Coimbra, Portugal, in September 2015. The 13 revised full papers, 3 revised short papers, and 2 invited papers were carefully reviewed and selected from 22 initial submissions. The paper topics cover techniques for keyword search, semantic data management, social Web and social media, information retrieval, benchmarking for search on big data.

Date

1. 2.2016 18:25:22