Search (6 results, page 1 of 1)

  • × year_i:[1970 TO 1980}
  • × author_ss:"Salton, G."
  1. Salton, G.: Experiments in automatic thesaurus construction for information retrieval (1972) 0.02
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  2. Salton, G.; Yang, C.S.: On the specification of term values in automatic indexing (1973) 0.00
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  3. Salton, G.; Waldstein, R.H.: Term relevance weights in on-line information retrieval (1978) 0.00
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  4. 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.
  5. 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
    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
  6. 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