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  1. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.23 
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    Source
    http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
  2. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.22 
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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
  3. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.18 
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    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  4. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.18 
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  5. Barnsley, M.F.; Hurd, L.P.: Fractal image compression (1993) 0.17 
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    BK
    54.74 / Maschinelles Sehen
    Classification
    54.74 / Maschinelles Sehen
  6. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.16 
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    Content
    Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
  7. Barnsley, M.F.; Hurd, L.P.: Bildkompression mit Fraktalen (1996) 0.14 
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    BK
    54.74 / Maschinelles Sehen
    Classification
    54.74 / Maschinelles Sehen
  8. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.14 
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    Footnote
    Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
  9. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.14 
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  10. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.14 
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    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  11. Vidyasagar, M.: ¬A theory of learning and generalization : with applications to neural networks and control systems (1997) 0.12 
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    RSWK
    Neuronales Netz / Maschinelles Lernen (21)
    Regelungssystem / Maschinelles Lernen (21)
    Subject
    Neuronales Netz / Maschinelles Lernen (21)
    Regelungssystem / Maschinelles Lernen (21)
  12. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.12 
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    Content
    Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
  13. Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010) 0.12 
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    PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.
  14. Malsburg, C. von der: ¬The correlation theory of brain function (1981) 0.12 
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    http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
  15. Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012) 0.11 
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    Content
    A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Computer Science. Vgl. Unter: http://www.inf.ufrgs.br%2F~ceramisch%2Fdownload_files%2Fpublications%2F2009%2Fp01.pdf.
    Date
    10. 1.2013 19:22:47
  16. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.09 
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    Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.
  17. Information visualization in data mining and knowledge discovery (2002) 0.07 
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    BK
    54.74 / Maschinelles Sehen
    Classification
    54.74 / Maschinelles Sehen
    Date
    23. 3.2008 19:10:22
  18. Mair, M.: Increasing the value of meta data by using associative semantic networks (2002) 0.05 
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    Abstract
    Momentan verbreitete Methoden zur Strukturierung von Information können ihre Aufgabe immer schlechter befriedigend erfüllen. Der Grund dafür ist das explosive Wachstum menschlichen Wissens. Diese Diplomarbeit schlägt als einen möglichen Ausweg die Verwendung assoziativer semantischer Netzwerke vor. Maschinelles Wissensmanagement kann wesentlich intuitiver und einfacher benutzbar werden, wenn man sich die Art und Weise zunutze macht, mit der das menschliche Gehirn Informationen verarbeitet (im Speziellen assoziative Verbindungen). Der theoretische Teil dieser Arbeit diskutiert verschiedene Aspekte eines möglichen Designs eines semantischen Netzwerks mit assoziativen Verbindungen. Außer den Grundelementen und Problemen der Visualisierung werden hauptsächlich Verbesserungen ausgearbeitet, welche ein leistungsstarkes Arbeiten mit einem solchen Netzwerk erlauben. Im praktischen Teil wird ein Netzwerk-Prototyp mit den wichtigsten herausgearbeiteten Merkmalen implementiert. Die Basis der Applikation bildet der Hyperwave Information Server. Dieser detailiiertere Design-Teil gewährt tieferen Einblick in Software Requirements, Use Cases und teilweise auch in Klassendetails. Am Ende wird eine kurze Einführung in die Benutzung des implementierten Prototypen gegeben.
  19. Digitales Schloß (1994) 0.02 
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    Abstract
    Die Bestände der größten Bibliothek der Welt sollen künftig auf jedem Computerbildschirm zu sehen sein
  20. Notess, G.R.: Teaching Web search skills : techniques and strategies of top trainers (2006) 0.02 
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    025.04071 / 22
    DDC
    025.04071 / 22
    Footnote
    Rez. in: Online-Mitteilungen 2007, H.89, S.17-18 (M. Katzmayr): "Eine der Herausforderungen, der sich Web-Trainerinnen regelmäßig ausgesetzt sehen, besteht in der Kurzlebigkeit der Recherchetools und ihrer ständig wechselnden Funktionalitäten. Wer spricht heute noch von den Suchmaschinen AltaVista oder Lycos? (Hoffentlich) niemand mehr. Diese Dynamik in der Internetbranche wirkt allerdings auf viele potentielle Vortragende abschreckend, scheint es doch ein unzumutbarer Aufwand zu sein, sich laufend über neue Entwicklungen zu informieren. Wer darunter leidet oder zum ersten Mal eine Webschulung vorbereitet, sollte einen Blick in das vorliegende Buch werfen. Dessen Autor, Greg. R. Notess ist im Bereich des praktischen Web Information Retrieval kein Unbekannter: der Auskunftsbibliothekar an der Montana State University hat sich als Betreiber der Website Search Engine Showdown (http://www.search engineshowdown.com), vielgereister Vortragender, erfahrener Didaktiker und regelmäßiger Autor der Zeitschrift Online einen exzellenten Ruf in der Internet-Gemeinde erworben. Nun liegen seine Kenntnisse zur Vermittlung der Webrecherche auch als Monographie vor, die sich an Leiterinnen von Webschulungen richtet. Zum einen finden sich darin eine Vielzahl an didaktischen und organisatorischen Hinweisen zur Planung und Durchführung von Webschulungen. So werden z.B. die verschiedenen Typen von Kursteilnehmerinnen beschrieben und welchen Problemen sich Anfängerinnen in der Webrecherche in der Regel gegenübersehen. Es werden die verschiedenen Arten von Schulungen (Frontalvorträge, Schulungen mit Übungsmöglichkeiten und Online-Tutorials) mit ihren jeweiligen Vor- und Nachteilen sowie idealtypischen Einsatzmöglichkeiten dargestellt, weiters werden Hinweise zu Zielsetzungen und Länge von Kursen gegeben.

Authors

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  • a 1937
  • m 160
  • s 98
  • el 69
  • b 31
  • r 10
  • x 10
  • i 3
  • n 2
  • p 2
  • h 1
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