Search (17 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Automatisches Indexieren"
  • × year_i:[1970 TO 1980}
  1. Jardine, N.; Rijsbergen, C.J. van: ¬The use of hierarchic clustering in information retrieval (1971) 0.00 
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    Source
    Information storage and retrieval. 7(1971), S.217-240
  2. 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
  3. 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
  4. 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
  5. Hafer, M.A.; Weiss, S.F.: Word segmentation by letter successor varieties (1974) 0.00 
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    Abstract
    This paper describes a method for automatically segmenting words into their stems and affixes. The process uses certain statistical properties of corpus (successor and predecessor letter variety counts) to indicate where words should be divided. Consequently, this process is less reliant on human intervention than are other methods for automated stemming. The segmentation system is used to construct stem dictionariesfor documnet classification. Information retrieval experiments are then performed using documents and queries so classified. Results show not only that this method is capable of high quality word segmentation, but also that its use in information retrieval produce results that are at least as good as thosse obtained using the more traditional stemming process.
    Source
    Information storage and retrieval. 10(1974) H.11/12, S.371-385
  6. ¬The smart retrieval system : experiments in automatic document processing (1971) 0.00 
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  7. Salton, G.; Wong, A.: Generation and search of clustered files (1978) 0.00 
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    Source
    ACM transactions on database systems. 3(1978) no.4, S.321-346
  8. Rijsbergen, C.J. van: ¬A fast hierarchic clustering algorithm (1970) 0.00 
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    Source
    Computer journal. 13(1970), S.324-326
  9. Gray, W.A.; Harley, A.J.: Computer assisted indexing (1971) 0.00 
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    Source
    Information storage and retrieval. 7(1971), S.167-174
  10. Dattola, R.T.: FIRST: Flexible information retrieval system for text (1979) 0.00 
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    Source
    Journal of the American Society for Information Science. 30(1979), S.9-14
  11. Sparck Jones, K.; Jackson, D.M.: ¬The use of automatically obtained keyword classification for information retrieval (1970) 0.00 
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    Source
    Information storage and retrieval. 5(1970), S.175-201
  12. Bookstein, A.; Swanson, D.R.: Probabilistic models for automatic indexing (1974) 0.00 
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    Source
    Journal of the American Society for Information Science. 25(1974), S.312-318
  13. Croft, W.B.: Clustering large files of documents using the single link method (1977) 0.00 
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    Source
    Journal of the American Society for Information Science. 28(1977), S.341-344
  14. Yu, C.T.; Salton, G.: Precision weighting : an effective automatic indexing method (1976) 0.00 
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    Source
    Journal of the Association for Computing Machinery. 23(1976), S.76-88
  15. Sparck Jones, K.: Index term weighting (1973) 0.00 
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    Source
    Information storage and retrieval. 9(1973), S.619-633
  16. Salton, G.: ¬A new comparison between conventional indexing (MEDLARS) and automatic text processing (SMART) (1972) 0.00 
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    Source
    Journal of the American Society for Information Science. 23(1972), S.75-84
  17. Yu, C.T.; Salton, G.; Siu, M.K.: Effective automatic indexing using term addition and deletion (1978) 0.00 
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    Source
    Journal of the Association for Computing Machinery. 25(1978), S.210-225

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