Search (106 results, page 2 of 6)

  • × theme_ss:"Retrievalalgorithmen"
  • × year_i:[1990 TO 2000}
  1. Savoy, J.; Ndarugendamwo, M.; Vrajitoru, D.: Report on the TREC-4 experiment : combining probabilistic and vector-space schemes (1996) 0.00 
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    Pages
    S.537-547
  2. Jascó, P.: Mapping algorithms to translate natural language questions into search queries for Web databases (1997) 0.00 
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    Pages
    S.189-200
  3. Tseng, Y.H.; Lin, Y.I.: Evaluation of fuzzy search, term suggestion, and term relevance feedback in an OPAC system (1998) 0.00 
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    Source
    Bulletin of the Library Association of China. 1998, no.61, S.103-125
  4. Cole, C.: Intelligent information retrieval: diagnosing information need : Part I: the theoretical framework for developing an intelligent IR tool (1998) 0.00 
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    Information processing and management. 34(1998) no.6, S.709-720
  5. Cole, C.: Intelligent information retrieval: diagnosing information need : Part II: uncertainty expansion in a prototype of a diagnostic IR tool (1998) 0.00 
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    Information processing and management. 34(1998) no.6, S.721-731
  6. Al-Hawamdeh, S.; Smith, G.; Willett, P.; Vere, R. de: Using nearest-neighbour searching techniques to access full-text documents (1991) 0.00 
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    Source
    Online review. 15(1991) nos.3/4, S.173-190
  7. Uratani, N.; Takeda, M.: ¬A fast string-searching algorithm for multiple patterns (1993) 0.00 
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    Abstract
    The string-searching problem is to find all occurrences of pattern(s) in a text string. The Aho-Corasick string searching algorithm simultaneously finds all occurrences of multiple patterns in one pass through the text. The Boyer-Moore algorithm is the fastest algorithm for a single pattern. By combining the ideas of these two algorithms, presents an efficient string searching algorithm for multiple patterns. The algorithm runs in sublinear time, on the average, as the BM algorithm achieves, and its preprocessing time is linear proportional to the sum of the lengths of the patterns like the AC algorithm
    Source
    Information processing and management. 29(1993) no.6, S.775-791
  8. Pfeifer, U.; Pennekamp, S.: Incremental processing of vague queries in interactive retrieval systems (1997) 0.00 
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    Pages
    S.223-236
  9. Wartik, S.: Boolean operators (1992) 0.00 
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    Pages
    S.264-292
  10. Wartik, S.; Fox, E.; Heath, L.; Chen, Q.-F.: Hashing algorithms (1992) 0.00 
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    Pages
    S.293-362
  11. Quint, B.: Check out the new RANK command on DIALOG (1993) 0.00 
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    Source
    Searcher. 1(1993) no.2, S.36-38
  12. Willett, P.: Best-match text retrieval (1993) 0.00 
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    Source
    Library and information briefings. 1993, no.49, S.1-11
  13. Robertson, S.E.: OKAPI at TREC-1 (1994) 0.00 
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    Pages
    19 S
  14. Loughran, H.: ¬A review of nearest neighbour information retrieval (1994) 0.00 
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    Source
    Information management report. 1994, August, S.11-14
  15. Courtois, M.P.; Berry, M.W.: Results ranking in Web search engines (1999) 0.00 
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    Source
    Online. 23(1999) no.3, S.39-46
  16. Koopman, R.: ¬Ein OPAC mit Gewichtungsalgorithmen : Der PICA Micro OPC (1996) 0.00 
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    Pages
    S.95-105
  17. Zhang, W.; Korf, R.E.: Performance of linear-space search algorithms (1995) 0.00 
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    Source
    Artificial intelligence. 79(1995) no.2, S.241-292
  18. Baeza-Yates, R.A.: Introduction to data structures and algorithms related to information retrieval (1992) 0.00 
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    Pages
    S.13-27
  19. Hüther, H.: Selix im DFG-Projekt Kascade (1998) 0.00 
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    Pages
    S.397-403
  20. Ruthven, I.; Lalmas, M.: Selective relevance feedback using term characteristics (1999) 0.00 
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    Pages
    S.219-232

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