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  • × author_ss:"Salton, G."
  1. Salton, G.: Future prospects for text-based information retrieval (1990) 0.02 
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    Pages
    S.201-203
    Series
    Konstanzer Schriften zur Informationswissenschaft; Bd.1
    Source
    Pragmatische Aspekte beim Entwurf und Betrieb von Informationssystemen: Proc. des 1. Int. Symposiums für Informationswissenschaft, Universität Konstanz, 17.-19.10.1990. Hrsg.: J. Herget u. R. Kuhlen
  2. Salton, G.: Experiments in automatic thesaurus construction for information retrieval (1972) 0.01 
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    Pages
    xxx S
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  3. Salton, G.; McGill, M. J.: Information Retrieval: Grundlegendes für Informationswissenschaftler (1987) 0.00 
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    Content
    Enthält die Kapitel: Information Retrieval: eine Einführung; Invertierte Dateisysteme; Textanalyse und automatisches Indexieren; Die experimentellen Retrievalsysteme SMART und SIRE; Die Bewertung von Retrievalsystemen; Fortgeschrittene Retrievaltechniken; Verarbeitung natürlicher Sprache; Informationstechnologie: Hardware und Software; Datenbankmanagementsysteme; Zukünftige Entwicklungen im Information Retrieval
    Pages
    X,465 S
  4. 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
  5. Salton, G.; Lesk, M.E.: Computer evaluation of indexing and text processing (1968) 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.60-84.
    Source
    Journal of the Association for Computing Machinery. 15(1968), S.8-36
  6. Salton, G.: Historical note: the past thirty years in information retrieval (1987) 0.00 
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    Source
    Journal of the American Society for Information Science. 38(1987) no.5, S.375-380
  7. Salton, G.; Fox, E.A.; Voorhees, E.: Advanced feedback methods in information retrieval (1985) 0.00 
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    Source
    Journal of the American Society for Information Science. 36(1985), S.200-210
  8. Salton, G.; Yang, C.S.: On the specification of term values in automatic indexing (1973) 0.00 
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    Source
    Journal of documentation. 29(1973), S.351-372
  9. Salton, G.; Waldstein, R.H.: Term relevance weights in on-line information retrieval (1978) 0.00 
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    Source
    Information processing and management. 14(1978), S.20-35
  10. Salton, G.; Wong, A.; Yang, C.S.: ¬A vector space model for automatic indexing (1975) 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.273-280.
    Source
    Communications of the Association for Computing Machinery. 18(1975), S.613-620
  11. Salton, G.; Allan, J.; Buckley, C.; Singhal, A.: Automatic analysis, theme generation, and summarization of machine readable texts (1994) 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.478-483.
    Source
    Science. 264(1994), S.1421-1426
  12. Salton, G.; Rijsbergen, C.J. van; Maron, M.E.: Panel on key issues in information retrieval (1983) 0.00 
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    Abstract
    Contribution to an issue devoted to the 6th Annual International Conference of the Special Interest Group on Information Retrieval of the Association for Computing Machinery (USA) held at the National Library of Medicine, Bethesda, Maryland, from 6-8 June 83. The following papers were presented in session 12 which was a panel on key issues in information retrieval: SALTON, G.: Research problems in automatic information retrieval; RIJSBERGEN, C.J. van: Information retrieval: new directions, old solutions; MARON, M.E.: Open problems in information retrieval
    Source
    SIGIR forum. 17(1983) no.4, S.251-267
  13. Salton, G.; Buckley, C.; Smith, M.: On the application of syntactic methodologies in automatic text analysis (1990) 0.00 
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    Source
    Information processing and management. 26(1990) no.1, S.73-92
  14. Salton, G.; Araya, J.: On the use of clustered file organizations in information search and retrieval (1990) 0.00 
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    Pages
    S.147-163
  15. Salton, G.: Fast document classification in automatic information retrieval (1978) 0.00 
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    Abstract
    A classified or clustered file is one where related or similar records are grouped into classes or clusters of items in such a way that all itmes within a cluster are jointly retrievable. Clustered files are easily adapted to to broad and narrow search strategies, and simple file updating methods are available. An inexpensive file clustering method applicable to large files is given together with appropriate file search methods
    Pages
    S.129-146
    Source
    Kooperation in der Klassifikation I. Proc. der Sekt.1-3 der 2. Fachtagung der Gesellschaft für Klassifikation, Frankfurt-Hoechst, 6.-7.4.1978. Bearb.: W. Dahlberg
  16. Salton, G.; Buckley, C.; Allan, J.: Automatic structuring of text files (1992) 0.00 
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    Abstract
    In many practical information retrieval situations, it is necessary to process heterogeneous text databases that vary greatly in scope and coverage and deal with many different subjects. In such an environment it is important to provide flexible access to individual text pieces and to structure the collection so that related text elements are identified and properly linked. Describes methods for the automatic structuring of heterogeneous text collections and the construction of browsing tools and access procedures that facilitate collection use. Illustrates these emthods with searches using a large automated encyclopedia
    Source
    Electronic publishing. 5(1992) no.1, S.1-17
  17. Salton, G.; Buckley, C.: Approaches to global text analysis (1990) 0.00 
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    Abstract
    Current approaches to the analysis of natural language text are not viable for documents of unrestricted scope. A global text analysis system is proposed designed to identify homogeneous text environments in which the meaning of text words and phrases remains unambiguous, and useful term relationships may be automatically determined. The proposed methods include document clustering methods, as well as comparisons of local document excerpts in specified global contexts, leading to structured text representations in which similar texts, or text excerpts, are appropriately linked
    Pages
    S.228-233
    Source
    ASIS'90: Information in the year 2000, from research to applications. Proc. of the 53rd Annual Meeting of the American Society for Information Science, Toronto, Canada, 4.-8.11.1990. Ed. by Diana Henderson
  18. Salton, G.: Mathematics and information retrieval (1979) 0.00 
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    Abstract
    The development of a given discipline in science and technology often depends on the availability of theorie capable of describing the processes which control the field and of modelling the interactions between the processes. The absence of an accepted theory of information retrieval has benn blamed for the relative disorder and the lack of technical advances in the area. The main mathematical approaches to information retrieval are examined in this study, including both algebraic and probabilistic models, and the difficulties which impede the formalization of information retrieval processes are described. A number of developments are covered where new theoretical understandings have directly led to the improvemenet of retrieval techniques and operations
    Source
    Journal of documentation. 35(1979) no.1, S.1-29
  19. Salton, G.: Automatic text processing : the transformation, analysis, and retrieval of information by computer (1989) 0.00 
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    Pages
    XIII,530 S
    Series
    Addison-Wesley series in computer science
  20. Lesk, M.E.; Salton, G.: Relevance assements and retrieval system evaluation (1969) 0.00 
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    Abstract
    Two widerly used criteria for evaluating the effectiveness of information retrieval systems are, respectively, the recall and the precision. Since the determiniation of these measures is dependent on a distinction between documents which are relevant to a given query and documents which are not relevant to that query, it has sometimes been claimed that an accurate, generally valid evaluation cannot be based on recall and precision measure. A study was made to determine the effect of variations in relevance assesments do not produce significant variations in average recall and precision. It thus appears that properly computed recall and precision data may represent effectiveness indicators which are gemerally valid for many distinct user classes.
    Source
    Information storage and retrieval. 4(1969), S.343-359

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