Search (34 results, page 1 of 2)

  • × type_ss:"a"
  • × theme_ss:"Automatisches Klassifizieren"
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.28
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  2. Pfeffer, M.: Automatische Vergabe von RVK-Notationen mittels fallbasiertem Schließen (2009) 0.02
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    Abstract
    Klassifikation von bibliografischen Einheiten ist für einen systematischen Zugang zu den Beständen einer Bibliothek und deren Aufstellung unumgänglich. Bislang wurde diese Aufgabe von Fachexperten manuell erledigt, sei es individuell nach einer selbst entwickelten Systematik oder kooperativ nach einer gemeinsamen Systematik. In dieser Arbeit wird ein Verfahren zur Automatisierung des Klassifikationsvorgangs vorgestellt. Dabei kommt das Verfahren des fallbasierten Schließens zum Einsatz, das im Kontext der Forschung zur künstlichen Intelligenz entwickelt wurde. Das Verfahren liefert für jedes Werk, für das bibliografische Daten vorliegen, eine oder mehrere mögliche Klassifikationen. In Experimenten werden die Ergebnisse der automatischen Klassifikation mit der durch Fachexperten verglichen. Diese Experimente belegen die hohe Qualität der automatischen Klassifikation und dass das Verfahren geeignet ist, Fachexperten bei der Klassifikationsarbeit signifikant zu entlasten. Auch die nahezu vollständige Resystematisierung eines Bibliothekskataloges ist - mit gewissen Abstrichen - möglich.
    Date
    22. 8.2009 19:51:28
  3. Panyr, J.: STEINADLER: ein Verfahren zur automatischen Deskribierung und zur automatischen thematischen Klassifikation (1978) 0.00
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    Source
    Nachrichten für Dokumentation. 29(1978), S.92-96
  4. Subramanian, S.; Shafer, K.E.: Clustering (2001) 0.00
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    Date
    5. 5.2003 14:17:22
  5. HaCohen-Kerner, Y. et al.: Classification using various machine learning methods and combinations of key-phrases and visual features (2016) 0.00
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    Date
    1. 2.2016 18:25:22
  6. Savic, D.: Designing an expert system for classifying office documents (1994) 0.00
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    Source
    Records management quarterly. 28(1994) no.3, S.20-29
  7. Savic, D.: Automatic classification of office documents : review of available methods and techniques (1995) 0.00
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    Source
    Records management quarterly. 29(1995) no.4, S.3-18
  8. Ruocco, A.S.; Frieder, O.: Clustering and classification of large document bases in a parallel environment (1997) 0.00
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    Date
    29. 7.1998 17:45:02
  9. Ruiz, M.E.; Srinivasan, P.: Combining machine learning and hierarchical indexing structures for text categorization (2001) 0.00
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    Date
    11. 5.2003 18:29:44
  10. Bock, H.-H.: Datenanalyse zur Strukturierung und Ordnung von Information (1989) 0.00
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    Pages
    S.1-22
  11. Dubin, D.: Dimensions and discriminability (1998) 0.00
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    Date
    22. 9.1997 19:16:05
  12. Jenkins, C.: Automatic classification of Web resources using Java and Dewey Decimal Classification (1998) 0.00
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    Date
    1. 8.1996 22:08:06
  13. Yoon, Y.; Lee, C.; Lee, G.G.: ¬An effective procedure for constructing a hierarchical text classification system (2006) 0.00
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    Date
    22. 7.2006 16:24:52
  14. Yi, K.: Automatic text classification using library classification schemes : trends, issues and challenges (2007) 0.00
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    Date
    22. 9.2008 18:31:54
  15. Drori, O.; Alon, N.: Using document classification for displaying search results (2003) 0.00
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    Source
    Journal of information science. 29(2003) no.2, S.97-106
  16. Chung, Y.-M.; Noh, Y.-H.: Developing a specialized directory system by automatically classifying Web documents (2003) 0.00
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    Source
    Journal of information science. 29(2003) no.2, S.117-126
  17. Liu, X.; Yu, S.; Janssens, F.; Glänzel, W.; Moreau, Y.; Moor, B.de: Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database (2010) 0.00
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    Date
    1. 6.2010 9:29:57
  18. Li, T.; Zhu, S.; Ogihara, M.: Hierarchical document classification using automatically generated hierarchy (2007) 0.00
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    Source
    Journal of intelligent information systems. 29(2007) no.2, S.211-230
  19. Liu, R.-L.: Context recognition for hierarchical text classification (2009) 0.00
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    Date
    22. 3.2009 19:11:54
  20. Zhu, W.Z.; Allen, R.B.: Document clustering using the LSI subspace signature model (2013) 0.00
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    Date
    23. 3.2013 13:22:36