Search (3 results, page 1 of 1)

  • × subject_ss:"Data mining"
  1. Next generation search engines : advanced models for information retrieval (2012) 0.00
    9.3816174E-4 = product of:
      0.0046908087 = sum of:
        0.0046908087 = product of:
          0.014072426 = sum of:
            0.014072426 = weight(_text_:f in 357) [ClassicSimilarity], result of:
              0.014072426 = score(doc=357,freq=2.0), product of:
                0.12782328 = queryWeight, product of:
                  3.985786 = idf(docFreq=2232, maxDocs=44218)
                  0.03206978 = queryNorm
                0.110092826 = fieldWeight in 357, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.985786 = idf(docFreq=2232, maxDocs=44218)
                  0.01953125 = fieldNorm(doc=357)
          0.33333334 = coord(1/3)
      0.2 = coord(1/5)
    
    Content
    Vert, S.: Extensions of Web browsers useful to knowledge workers. Chen, L.-C.: Next generation search engine for the result clustering technology. Biskri, I., L. Rompré: Using association rules for query reformulation. Habernal, I., M. Konopík u. O. Rohlík: Question answering. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains. Berri, J., R. Benlamri: Context-aware mobile search engine. Bouidghaghen, O., L. Tamine: Spatio-temporal based personalization for mobile search. Chaudiron, S., M. Ihadjadene: Studying Web search engines from a user perspective: key concepts and main approaches. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications. Lewandowski, D.: A framework for evaluating the retrieval effectiveness of search engines.
  2. Corporate Semantic Web : wie semantische Anwendungen in Unternehmen Nutzen stiften (2015) 0.00
    8.125741E-4 = product of:
      0.0040628705 = sum of:
        0.0040628705 = product of:
          0.016251482 = sum of:
            0.016251482 = weight(_text_:einer in 2246) [ClassicSimilarity], result of:
              0.016251482 = score(doc=2246,freq=2.0), product of:
                0.108595535 = queryWeight, product of:
                  3.3862264 = idf(docFreq=4066, maxDocs=44218)
                  0.03206978 = queryNorm
                0.14965148 = fieldWeight in 2246, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.3862264 = idf(docFreq=4066, maxDocs=44218)
                  0.03125 = fieldNorm(doc=2246)
          0.25 = coord(1/4)
      0.2 = coord(1/5)
    
    Abstract
    Beim Corporate Semantic Web betrachtet man Semantic Web-Anwendungen, die innerhalb eines Unternehmens oder einer Organisation - kommerziell und nicht kommerziell - eingesetzt werden, von Mitarbeitern, von Kunden oder Partnern. Die Autoren erläutern prägende Erfahrungen in der Entwicklung von Semantic Web-Anwendungen. Sie berichten über Software-Architektur, Methodik, Technologieauswahl, Linked Open Data Sets, Lizenzfragen etc. Anwendungen aus den Branchen Banken, Versicherungen, Telekommunikation, Medien, Energie, Maschinenbau, Logistik, Touristik, Spielwaren, Bibliothekswesen und Kultur werden vorgestellt. Der Leser erhält so einen umfassenden Überblick über die Semantic Web-Einsatzbereiche sowie konkrete Umsetzungshinweise für eigene Vorhaben.
  3. Information visualization in data mining and knowledge discovery (2002) 0.00
    4.3450124E-4 = product of:
      0.0021725062 = sum of:
        0.0021725062 = product of:
          0.008690025 = sum of:
            0.008690025 = weight(_text_:22 in 1789) [ClassicSimilarity], result of:
              0.008690025 = score(doc=1789,freq=2.0), product of:
                0.11230291 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.03206978 = queryNorm
                0.07738023 = fieldWeight in 1789, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.015625 = fieldNorm(doc=1789)
          0.25 = coord(1/4)
      0.2 = coord(1/5)
    
    Date
    23. 3.2008 19:10:22