Search (43 results, page 1 of 3)

  • × year_i:[2000 TO 2010}
  • × theme_ss:"Automatisches Klassifizieren"
  1. Pfeffer, M.: Automatische Vergabe von RVK-Notationen anhand von bibliografischen Daten mittels fallbasiertem Schließen (2007) 0.03
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    Imprint
    Berlin : Humboldt-Universität / Institut für Bibliotheks- und Informationswissenschaft
  2. Wille, J.: Automatisches Klassifizieren bibliographischer Beschreibungsdaten : Vorgehensweise und Ergebnisse (2006) 0.02
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    Abstract
    Diese Arbeit befasst sich mit den praktischen Aspekten des Automatischen Klassifizierens bibliographischer Referenzdaten. Im Vordergrund steht die konkrete Vorgehensweise anhand des eigens zu diesem Zweck entwickelten Open Source-Programms COBRA "Classification Of Bibliographic Records, Automatic". Es werden die Rahmenbedingungen und Parameter f¨ur einen Einsatz im bibliothekarischen Umfeld geklärt. Schließlich erfolgt eine Auswertung von Klassifizierungsergebnissen am Beispiel sozialwissenschaftlicher Daten aus der Datenbank SOLIS.
    Footnote
    http://www.fbi.fh-koeln.de/institut/papers/abschlussarbeiten/abschlussarbeiten_ausgabe.php Vgl. auch: http://eprints.rclis.org/archive/00006659/01/wille_-_automatisches_klassifizieren_bibliographischer_beschreibungsdaten_(diplomarbeit).pdf. Für die Software vgl.: http://blackwinter.de/da/.
  3. Helmbrecht-Schaar, A.: Entwicklung eines Verfahrens der automatischen Klassifizierung für Textdokumente aus dem Fachbereich Informatik mithilfe eines fachspezifischen Klassifikationssystems (2007) 0.02
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    Imprint
    Berlin : Humboldt-Universität, Institut für Bibliothekswissenschaft
  4. Pfeffer, M.: Automatische Vergabe von RVK-Notationen mittels fallbasiertem Schließen (2009) 0.02
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    Date
    22. 8.2009 19:51:28
    Footnote
    Vgl. auch die Präsentationen unter: http://www.bibliothek.uni-regensburg.de/Systematik/pdf/Anw2008_PPT1.pdf. http://blog.bib.uni-mannheim.de/Classification/wp-content/uploads/2007/10/hu-berlin-2007-2.pdf. Volltexte unter:
    Imprint
    Frankfurt, M. : Klostermann
  5. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.01
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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
  6. Walther, R.: Möglichkeiten und Grenzen automatischer Klassifikationen von Web-Dokumenten (2001) 0.01
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    Footnote
    Lizenziatsarbeit an der Rechts- und Wirtschaftswissenschaftlichen Fakultät der Universität Bern, Institut für Wirtschaftsinformatik (Prof. G. Knolmayer)
  7. Hoffmann, R.: Entwicklung einer benutzerunterstützten automatisierten Klassifikation von Web - Dokumenten : Untersuchung gegenwärtiger Methoden zur automatisierten Dokumentklassifikation und Implementierung eines Prototyps zum verbesserten Information Retrieval für das xFIND System (2002) 0.01
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    Footnote
    Diplomarbeit an der Technischen Universität Graz, Institut für Informationsverarbeitung und Computerunterstützte neue Medien (IICM)
    Imprint
    Graz : Technischen Universität, Institut für Informationsverarbeitung und Computerunterstützte neue Medien (IICM)
  8. Oberhauser, O.: Automatisches Klassifizieren : Verfahren zur Erschließung elektronischer Dokumente (2004) 0.01
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    Imprint
    Köln : Fachhochschule / Institut für Informationswissenschaft
  9. Classification, automation, and new media : Proceedings of the 24th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Passau, March 15 - 17, 2000 (2002) 0.00
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    Imprint
    Berlin : Springer
    Type
    m
  10. Hung, C.-M.; Chien, L.-F.: Web-based text classification in the absence of manually labeled training documents (2007) 0.00
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  11. Subramanian, S.; Shafer, K.E.: Clustering (2001) 0.00
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    Date
    5. 5.2003 14:17:22
  12. Khoo, C.S.G.; Ng, K.; Ou, S.: ¬An exploratory study of human clustering of Web pages (2003) 0.00
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    Date
    12. 9.2004 9:56:22
    Source
    Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries. Proceedings of the 7th ISKO International Conference Granada, Spain, July 10-13, 2002. Ed.: M. López-Huertas
  13. Reiner, U.: Automatische DDC-Klassifizierung von bibliografischen Titeldatensätzen (2009) 0.00
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    Date
    22. 8.2009 12:54:24
  14. Automatic classification research at OCLC (2002) 0.00
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    Date
    5. 5.2003 9:22:09
  15. 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
  16. 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
  17. Guerrero-Bote, V.P.; Moya Anegón, F. de; Herrero Solana, V.: Document organization using Kohonen's algorithm (2002) 0.00
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  18. Sebastiani, F.: Classification of text, automatic (2006) 0.00
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  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. Oberhauser, O.: Automatisches Klassifizieren : Entwicklungsstand - Methodik - Anwendungsbereiche (2005) 0.00
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    Footnote
    Die am Anfang des Werkes gestellte Frage, ob »die Techniken des automatischen Klassifizierens heute bereits so weit [sind], dass damit grosse Mengen elektronischer Dokumente [-] zufrieden stellend erschlossen werden können? « (S. 13), beantwortet der Verfasser mit einem eindeutigen »nein«, was Salton und McGills Aussage von 1983, »daß einfache automatische Indexierungsverfahren schnell und kostengünstig arbeiten, und daß sie Recall- und Precisionwerte erreichen, die mindestens genauso gut sind wie bei der manuellen Indexierung mit kontrolliertem Vokabular « (Gerard Salton und Michael J. McGill: Information Retrieval. Hamburg u.a. 1987, S. 64 f.) kräftig relativiert. Über die Gründe, warum drei der großen Projekte nicht weiter verfolgt werden, will Oberhauser nicht spekulieren, nennt aber mangelnden Erfolg, Verlagerung der Arbeit in den beteiligten Institutionen sowie Finanzierungsprobleme als mögliche Ursachen. Das größte Entwicklungspotenzial beim automatischen Erschließen großer Dokumentenmengen sieht der Verfasser heute in den Bereichen der Patentund Mediendokumentation. Hier solle man im bibliothekarischen Bereich die Entwicklung genau verfolgen, da diese »sicherlich mittelfristig auf eine qualitativ zufrieden stellende Vollautomatisierung« abziele (S. 146). Oberhausers Darstellung ist ein rundum gelungenes Werk, das zum Handapparat eines jeden, der sich für automatische Erschließung interessiert, gehört."
    Type
    m

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