Search (19 results, page 1 of 1)

  • × theme_ss:"Automatisches Klassifizieren"
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.10
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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) 0.05
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    Date
    22. 8.2009 19:51:28
    Source
    Wissen bewegen - Bibliotheken in der Informationsgesellschaft / 97. Deutscher Bibliothekartag in Mannheim, 2008. Hrsg. von Ulrich Hohoff und Per Knudsen. Bearb. von Stefan Siebert
  3. Subramanian, S.; Shafer, K.E.: Clustering (2001) 0.02
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    Date
    5. 5.2003 14:17:22
  4. Reiner, U.: Automatische DDC-Klassifizierung von bibliografischen Titeldatensätzen (2009) 0.02
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    Date
    22. 8.2009 12:54:24
  5. HaCohen-Kerner, Y. et al.: Classification using various machine learning methods and combinations of key-phrases and visual features (2016) 0.02
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    Date
    1. 2.2016 18:25:22
  6. Bock, H.-H.: Datenanalyse zur Strukturierung und Ordnung von Information (1989) 0.01
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    Pages
    S.1-22
  7. Dubin, D.: Dimensions and discriminability (1998) 0.01
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    Date
    22. 9.1997 19:16:05
  8. Automatic classification research at OCLC (2002) 0.01
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    Date
    5. 5.2003 9:22:09
  9. Jenkins, C.: Automatic classification of Web resources using Java and Dewey Decimal Classification (1998) 0.01
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    Date
    1. 8.1996 22:08:06
  10. Yoon, Y.; Lee, C.; Lee, G.G.: ¬An effective procedure for constructing a hierarchical text classification system (2006) 0.01
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    Date
    22. 7.2006 16:24:52
  11. Yi, K.: Automatic text classification using library classification schemes : trends, issues and challenges (2007) 0.01
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    Date
    22. 9.2008 18:31:54
  12. 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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    Abstract
    Das unüberschaubare und permanent wachsende Angebot von Informationen im Internet ermöglicht es den Menschen nicht mehr, dieses inhaltlich zu erfassen oder gezielt nach Informationen zu suchen. Einen Lösungsweg zur verbesserten Informationsauffindung stellt hierbei die Kategorisierung bzw. Klassifikation der Informationen auf Basis ihres thematischen Inhaltes dar. Diese thematische Klassifikation kann sowohl anhand manueller (intellektueller) Methoden als auch durch automatisierte Verfahren erfolgen. Doch beide Ansätze für sich konnten die an sie gestellten Erwartungen bis zum heutigen Tag nur unzureichend erfüllen. Im Rahmen dieser Arbeit soll daher der naheliegende Ansatz, die beiden Methoden sinnvoll zu verknüpfen, untersucht werden. Im ersten Teil dieser Arbeit, dem Untersuchungsbereich, wird einleitend das Problem des Informationsüberangebots in unserer Gesellschaft erläutert und gezeigt, dass die Kategorisierung bzw. Klassifikation dieser Informationen speziell im Internet sinnvoll erscheint. Die prinzipiellen Möglichkeiten der Themenzuordnung von Dokumenten zur Verbesserung der Wissensverwaltung und Wissensauffindung werden beschrieben. Dabei werden unter anderem verschiedene Klassifikationsschemata, Topic Maps und semantische Netze vorgestellt. Schwerpunkt des Untersuchungsbereiches ist die Beschreibung automatisierter Methoden zur Themenzuordnung. Neben einem Überblick über die gebräuchlichsten Klassifikations-Algorithmen werden sowohl am Markt existierende Systeme sowie Forschungsansätze und frei verfügbare Module zur automatischen Klassifikation vorgestellt. Berücksichtigt werden auch Systeme, die zumindest teilweise den erwähnten Ansatz der Kombination von manuellen und automatischen Methoden unterstützen. Auch die in Zusammenhang mit der Klassifikation von Dokumenten im Internet auftretenden Probleme werden aufgezeigt. Die im Untersuchungsbereich gewonnenen Erkenntnisse fließen in die Entwicklung eines Moduls zur benutzerunterstützten, automatischen Dokumentklassifikation im Rahmen des xFIND Systems (extended Framework for Information Discovery) ein. Dieses an der technischen Universität Graz konzipierte Framework stellt die Basis für eine Vielzahl neuer Ideen zur Verbesserung des Information Retrieval dar. Der im Gestaltungsbereich entwickelte Lösungsansatz sieht zunächst die Verwendung bereits im System vorhandener, manuell klassifizierter Dokumente, Server oder Serverbereiche als Grundlage für die automatische Klassifikation vor. Nach erfolgter automatischer Klassifikation können in einem nächsten Schritt dann Autoren und Administratoren die Ergebnisse im Rahmen einer Benutzerunterstützung anpassen. Dabei kann das kollektive Benutzerverhalten durch die Möglichkeit eines Votings - mittels Zustimmung bzw. Ablehnung der Klassifikationsergebnisse - Einfluss finden. Das Wissen von Fachexperten und Benutzern trägt somit letztendlich zur Verbesserung der automatischen Klassifikation bei. Im Gestaltungsbereich werden die grundlegenden Konzepte, der Aufbau und die Funktionsweise des entwickelten Moduls beschrieben, sowie eine Reihe von Vorschlägen und Ideen zur Weiterentwicklung der benutzerunterstützten automatischen Dokumentklassifikation präsentiert.
  13. Liu, R.-L.: Context recognition for hierarchical text classification (2009) 0.01
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    Date
    22. 3.2009 19:11:54
  14. Zhu, W.Z.; Allen, R.B.: Document clustering using the LSI subspace signature model (2013) 0.01
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    Date
    23. 3.2013 13:22:36
  15. Egbert, J.; Biber, D.; Davies, M.: Developing a bottom-up, user-based method of web register classification (2015) 0.01
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    Date
    4. 8.2015 19:22:04
  16. Mengle, S.; Goharian, N.: Passage detection using text classification (2009) 0.01
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    Date
    22. 3.2009 19:14:43
  17. Liu, R.-L.: ¬A passage extractor for classification of disease aspect information (2013) 0.01
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    Date
    28.10.2013 19:22:57
  18. Khoo, C.S.G.; Ng, K.; Ou, S.: ¬An exploratory study of human clustering of Web pages (2003) 0.01
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    Date
    12. 9.2004 9:56:22
  19. Reiner, U.: Automatische DDC-Klassifizierung bibliografischer Titeldatensätze der Deutschen Nationalbibliografie (2009) 0.01
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    Date
    22. 1.2010 14:41:24