Search (12 results, page 1 of 1)

  • × theme_ss:"Retrievalalgorithmen"
  • × year_i:[1980 TO 1990}
  1. Fuhr, N.: Rankingexperimente mit gewichteter Indexierung (1986) 0.01
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    Date
    14. 6.2015 22:12:56
    Source
    Automatische Indexierung zwischen Forschung und Anwendung, Hrsg.: G. Lustig
  2. Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986) 0.01
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    Source
    Information processing and management. 22(1986) no.6, S.465-476
  3. Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983) 0.00
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    Date
    30. 3.2001 13:32:22
  4. Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986) 0.00
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    Date
    14. 6.2015 22:12:44
  5. Perry, R.; Willett, P.: ¬A revies of the use of inverted files for best match searching in information retrieval systems (1983) 0.00
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    Source
    Journal of information science. 6(1983), S.59-66
  6. Salton, G.; Buckley, C.: Term-weighting approaches in automatic text retrieval (1988) 0.00
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.323-328.
    Source
    Information processing and management. 24(1988) no.5, S.513-523
  7. Salton, G.: ¬A simple blueprint for automatic Boolean query processing (1988) 0.00
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    Source
    Information processing and management. 24(1988) no.3, S.269-280
  8. Rada, R.; Bicknell, E.: Ranking documents with a thesaurus (1989) 0.00
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    Source
    Journal of the American Society for Information Science. 40(1989) no.5, S.304-310
  9. Bovey, J.D.; Robertson, S.E.: ¬An algorithm for weighted searching on a Boolean system (1984) 0.00
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    Source
    Information technology: research and development. 3(1984) no.1, S.84-87
  10. Deerwester, S.; Dumais, S.; Landauer, T.; Furnass, G.; Beck, L.: Improving information retrieval with latent semantic indexing (1988) 0.00
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    Abstract
    Describes a latent semantic indexing (LSI) approach for improving information retrieval. Most document retrieval systems depend on matching keywords in queries against those in documents. The LSI approach tries to overcome the incompleteness and imprecision of latent relations among terms and documents. Tested performance of the LSI method ranged from considerably better than to roughly comparable to performance based on weighted keyword matching, apparently depending on the quality of the queries. Best LSI performance was found using a global entropy weighting for terms and about 100 dimensions for representing terms, documents and queries.
    Imprint
    Medford, New Jersey : Learned Information Inc.
    Source
    ASIS'88. Information technology: planning for the next fifty years. Proceedings of the 51st Annual Meeting of the American Society for Information Science, Atlanta, Georgia, 23.-27.10.1988. Vol.25. Ed. by C.L. Borgman and E.Y.H. Pai
  11. Srinivasan, P.: Intelligent information retrieval using rough set approximations (1989) 0.00
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    Abstract
    The theory of rough sets was introduced in 1982. It allows the classification of objects into sets of equivalent members based on their attributes. Any combination of the same objetcts (or even their attributes) may be examined using the resultant classification. The theory has direct applications in the design and evaluation of classification schemes and the selection of discriminating attributes. Introductory papers discuss its application in the domain of medical diagnostic systems and the design of information retrieval systems accessing collections of documents. Advantages offered by the theory are: the implicit inclusion of Boolean logic; term weighting; and the ability to rank retrieved documents.
    Source
    Information processing and management. 25(1989) no.4, S.347-361
  12. Ro, J.S.: ¬An evaluation of the applicability of ranking algorithms to improve the effectiveness of full-text retrieval : 1. On the effectiveness of full-text retrieval (1988) 0.00
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    Source
    Journal of the American Society for Information Science. 39(1988), S.73-78