Search (12 results, page 1 of 1)

  • × theme_ss:"Retrievalalgorithmen"
  • × year_i:[1980 TO 1990}
  1. Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983) 0.02 
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    Date
    30. 3.2001 13:32:22
  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. Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986) 0.01 
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    Date
    14. 6.2015 22:12:44
  4. Fuhr, N.: Rankingexperimente mit gewichteter Indexierung (1986) 0.01 
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    Date
    14. 6.2015 22:12:56
  5. 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) 0.01 
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    Source
    Journal of the American Society for Information Science. 39(1988), S.73-78
  6. Perry, R.; Willett, P.: ¬A revies of the use of inverted files for best match searching in information retrieval systems (1983) 0.01 
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    Source
    Journal of information science. 6(1983), S.59-66
  7. Wu, H.; Salton, G.: ¬The estimation of term relevance weights using relevance feedback (1981) 0.01 
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    Source
    Journal of documentation. 37(1981), S.194-214
  8. 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.
  9. Salton, G.; Buckley, C.: Parallel text search methods (1988) 0.00 
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    Source
    Communications of the Association for Computing Machinery. 31(1988), S.205-215
  10. 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
  11. Kantor, P.B.: ¬The logic of weighted queries (1981) 0.00 
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  12. 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.
    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

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  • e 10
  • d 2

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