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Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004)
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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.
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- 8. 1.2013 10:22:32
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Kleinoeder, H.H.; Puzicha, J.: Automatische Katalogisierung am Beispiel einer Pilotanwendung (2002)
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Godby, C. J.; Stuler, J.: ¬The Library of Congress Classification as a knowledge base for automatic subject categorization (2001)
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Díaz, I.; Ranilla, J.; Montañes, E.; Fernández, J.; Combarro, E.F.: Improving performance of text categorization by combining filtering and support vector machines (2004)
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Lindholm, J.; Schönthal, T.; Jansson , K.: Experiences of harvesting Web resources in engineering using automatic classification (2003)
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Pfister, J.: Clustering von Patent-Dokumenten am Beispiel der Datenbanken des Fachinformationszentrums Karlsruhe (2006)
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Wille, J.: Automatisches Klassifizieren bibliographischer Beschreibungsdaten : Vorgehensweise und Ergebnisse (2006)
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Wang, J.: ¬An extensive study on automated Dewey Decimal Classification (2009)
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Humphrey, S.M.; Névéol, A.; Browne, A.; Gobeil, J.; Ruch, P.; Darmoni, S.J.: Comparing a rule-based versus statistical system for automatic categorization of MEDLINE documents according to biomedical specialty (2009)
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Peng, F.; Huang, X.: Machine learning for Asian language text classification (2007)
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Oberhauser, O.: Automatisches Klassifizieren : Entwicklungsstand - Methodik - Anwendungsbereiche (2005)
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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."
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Subramanian, S.; Shafer, K.E.: Clustering (2001)
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- Date
- 5. 5.2003 14:17:22
