Search (219 results, page 1 of 11)

  • × theme_ss:"Automatisches Klassifizieren"
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.25 
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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
    Theme
    Automatisches Klassifizieren
  2. Subramanian, S.; Shafer, K.E.: Clustering (2001) 0.17 
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    Date
    5. 5.2003 14:17:22
    Theme
    Automatisches Klassifizieren
  3. Reiner, U.: Automatische DDC-Klassifizierung von bibliografischen Titeldatensätzen (2009) 0.14 
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    Date
    22. 8.2009 12:54:24
    Theme
    Automatisches Klassifizieren
  4. HaCohen-Kerner, Y. et al.: Classification using various machine learning methods and combinations of key-phrases and visual features (2016) 0.14 
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    Date
    1. 2.2016 18:25:22
    Theme
    Automatisches Klassifizieren
  5. Greiner, G.: Intellektuelles und automatisches Klassifizieren (1981) 0.12 
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    Theme
    Automatisches Klassifizieren
  6. Reiner, U.: Automatische DDC-Klassifizierung bibliografischer Titeldatensätze der Deutschen Nationalbibliografie (2009) 0.10 
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    Abstract
    Das Klassifizieren von Objekten (z. B. Fauna, Flora, Texte) ist ein Verfahren, das auf menschlicher Intelligenz basiert. In der Informatik - insbesondere im Gebiet der Künstlichen Intelligenz (KI) - wird u. a. untersucht, inweit Verfahren, die menschliche Intelligenz benötigen, automatisiert werden können. Hierbei hat sich herausgestellt, dass die Lösung von Alltagsproblemen eine größere Herausforderung darstellt, als die Lösung von Spezialproblemen, wie z. B. das Erstellen eines Schachcomputers. So ist "Rybka" der seit Juni 2007 amtierende Computerschach-Weltmeistern. Inwieweit Alltagsprobleme mit Methoden der Künstlichen Intelligenz gelöst werden können, ist eine - für den allgemeinen Fall - noch offene Frage. Beim Lösen von Alltagsproblemen spielt die Verarbeitung der natürlichen Sprache, wie z. B. das Verstehen, eine wesentliche Rolle. Den "gesunden Menschenverstand" als Maschine (in der Cyc-Wissensbasis in Form von Fakten und Regeln) zu realisieren, ist Lenat's Ziel seit 1984. Bezüglich des KI-Paradeprojektes "Cyc" gibt es CycOptimisten und Cyc-Pessimisten. Das Verstehen der natürlichen Sprache (z. B. Werktitel, Zusammenfassung, Vorwort, Inhalt) ist auch beim intellektuellen Klassifizieren von bibliografischen Titeldatensätzen oder Netzpublikationen notwendig, um diese Textobjekte korrekt klassifizieren zu können. Seit dem Jahr 2007 werden von der Deutschen Nationalbibliothek nahezu alle Veröffentlichungen mit der Dewey Dezimalklassifikation (DDC) intellektuell klassifiziert.
    Date
    22. 1.2010 14:41:24
    Theme
    Automatisches Klassifizieren
  7. Bock, H.-H.: Datenanalyse zur Strukturierung und Ordnung von Information (1989) 0.10 
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    Pages
    S.1-22
    Theme
    Automatisches Klassifizieren
  8. Dubin, D.: Dimensions and discriminability (1998) 0.10 
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    Date
    22. 9.1997 19:16:05
    Theme
    Automatisches Klassifizieren
  9. Automatic classification research at OCLC (2002) 0.10 
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    Date
    5. 5.2003 9:22:09
    Theme
    Automatisches Klassifizieren
  10. Jenkins, C.: Automatic classification of Web resources using Java and Dewey Decimal Classification (1998) 0.10 
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    Date
    1. 8.1996 22:08:06
    Theme
    Automatisches Klassifizieren
  11. Yoon, Y.; Lee, C.; Lee, G.G.: ¬An effective procedure for constructing a hierarchical text classification system (2006) 0.10 
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    Date
    22. 7.2006 16:24:52
    Theme
    Automatisches Klassifizieren
  12. Yi, K.: Automatic text classification using library classification schemes : trends, issues and challenges (2007) 0.10 
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    Date
    22. 9.2008 18:31:54
    Theme
    Automatisches Klassifizieren
  13. Rijsbergen, C.J. van: Automatic classification in information retrieval (1978) 0.08 
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    Theme
    Automatisches Klassifizieren
  14. Sparck Jones, K.: Automatic classification (1976) 0.08 
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    Theme
    Automatisches Klassifizieren
  15. Panyr, J.: STEINADLER: ein Verfahren zur automatischen Deskribierung und zur automatischen thematischen Klassifikation (1978) 0.08 
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    Theme
    Automatisches Klassifizieren
  16. Bock, H.-H.: Automatische Klassifikation : theoretische und praktische Methoden zur Gruppierung und Strukturierung von Daten (Cluster-Analyse) (1974) 0.08 
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    Theme
    Automatisches Klassifizieren
  17. Liu, R.-L.: Context recognition for hierarchical text classification (2009) 0.08 
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    Date
    22. 3.2009 19:11:54
    Theme
    Automatisches Klassifizieren
  18. Pfeffer, M.: Automatische Vergabe von RVK-Notationen mittels fallbasiertem Schließen (2009) 0.08 
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    Date
    22. 8.2009 19:51:28
    Theme
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  19. Zhu, W.Z.; Allen, R.B.: Document clustering using the LSI subspace signature model (2013) 0.08 
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    23. 3.2013 13:22:36
    Theme
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  20. Egbert, J.; Biber, D.; Davies, M.: Developing a bottom-up, user-based method of web register classification (2015) 0.08 
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    Date
    4. 8.2015 19:22:04
    Theme
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Authors

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