Search (4778 results, page 1 of 239)

  1. Palais, E.S.: Abstracting for reference librarians (1988) 0.17 
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    Source
    Reference librarian. 1988, no.22, S.297-308
  2. Vieira, E.S.; Cabral, J.A.S.; Gomes, J.A.N.F.: Definition of a model based on bibliometric indicators for assessing applicants to academic positions (2014) 0.15 
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    Date
    18. 3.2014 18:22:21
  3. Atlam, E.S.: Similarity measurement using term negative weight and its application to word similarity (2000) 0.13 
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  4. Haas, S.W.; Grams, E.S.: Readers, authors, and page structure : a discussion of four questions arising from a content analysis of Web pages (2000) 0.13 
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  5. Ackermann, E.: Piaget's constructivism, Papert's constructionism : what's the difference? (2001) 0.12 
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    Content
    Vgl.: https://www.semanticscholar.org/paper/Piaget-%E2%80%99-s-Constructivism-%2C-Papert-%E2%80%99-s-%3A-What-%E2%80%99-s-Ackermann/89cbcc1e740a4591443ff4765a6ae8df0fdf5554. Darunter weitere Hinweise auf verwandte Beiträge. Auch unter: Learning Group Publication 5(2001) no.3, S.438.
  6. Calado, P.; Cristo, M.; Gonçalves, M.A.; Moura, E.S. de; Ribeiro-Neto, B.; Ziviani, N.: Link-based similarity measures for the classification of Web documents (2006) 0.11 
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    Abstract
    Traditional text-based document classifiers tend to perform poorly an the Web. Text in Web documents is usually noisy and often does not contain enough information to determine their topic. However, the Web provides a different source that can be useful to document classification: its hyperlink structure. In this work, the authors evaluate how the link structure of the Web can be used to determine a measure of similarity appropriate for document classification. They experiment with five different similarity measures and determine their adequacy for predicting the topic of a Web page. Tests performed an a Web directory Show that link information alone allows classifying documents with an average precision of 86%. Further, when combined with a traditional textbased classifier, precision increases to values of up to 90%, representing gains that range from 63 to 132% over the use of text-based classification alone. Because the measures proposed in this article are straightforward to compute, they provide a practical and effective solution for Web classification and related information retrieval tasks. Further, the authors provide an important set of guidelines an how link structure can be used effectively to classify Web documents.
  7. Barton, G.E. Jr.; Berwick, R.C.; Ristad, E.S.: Computational complexity and natural language (1987) 0.11 
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  8. Brandão, W.C.; Santos, R.L.T.; Ziviani, N.; Moura, E.S. de; Silva, A.S. da: Learning to expand queries using entities (2014) 0.11 
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    Date
    22. 8.2014 17:07:50
  9. Carter, J.A.: PASSPORT/PRISM: authors and titles and MARC : oh my! (1993) 0.10 
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    Source
    OCLC systems and services. 9(1993) no.3, S.20-22
  10. Gödert, W.; Hubrich, J.; Boteram, F.: Thematische Recherche und Interoperabilität : Wege zur Optimierung des Zugriffs auf heterogen erschlossene Dokumente (2009) 0.09 
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    Source
    https://opus4.kobv.de/opus4-bib-info/frontdoor/index/index/searchtype/authorsearch/author/%22Hubrich%2C+Jessica%22/docId/703/start/0/rows/20
  11. Lane, E.S.; Summerhill, C.: Internet primer for information professionals : a basic guide to Internet networking technology (1993) 0.09 
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  12. Lee, E.S.; Zhu, Q.: Fuzzy and evidece reasoning (1995) 0.09 
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  13. Smith, E.S.: Equal information access and the evolution of American democracy (1995) 0.09 
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  14. Wilks, E.S.: Polymer nomenclature and structure: a comparison of systems used by CAS, IUPAC, MDL, and DuPont : 1. Regular single-strand organic polymers (1997) 0.09 
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  15. Hickock, G.; Bellugi, U.; Klima, E.S.: Sprechende Hände (2001) 0.09 
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  16. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.08 
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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
  17. Kovacic, E.S.: Learning to catalog : a practitioner's perspective (1987) 0.07 
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  18. Wilks, E.S.: Polymer nomenclature and structure: a comparison of systems used by CAS, IUPAC, MDL, and DuPont : 2. Aftertreated (post-terated), alternating/periodic, and block polymers (1997) 0.07 
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