Search (107 results, page 2 of 6)

  • × theme_ss:"Retrievalalgorithmen"
  • × year_i:[1990 TO 2000}
  1. Koyama, M.: ¬A fast retrieving algorithm of hierarchical relationships using tree structures (1998) 0.00
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    Source
    Information processing and management. 34(1998) no.6, S.761-763
  2. Lee, J.H.: Combining the evidence of different relevance feedback methods for information retrieval (1998) 0.00
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    Source
    Information processing and management. 34(1998) no.6, S.681-691
  3. Chakrabarti, S.; Dom, B.; Kumar, S.R.; Raghavan, P.; Rajagopalan, S.; Tomkins, A.; Kleinberg, J.M.; Gibson, D.: Neue Pfade durch den Internet-Dschungel : Die zweite Generation von Web-Suchmaschinen (1999) 0.00
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    Source
    Spektrum der Wissenschaft. 1999, H.8, S.44-49
  4. Information retrieval : data structures and algorithms (1992) 0.00
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    Content
    An edited volume containing data structures and algorithms for information retrieval including a disk with examples written in C. for prgrammers and students interested in parsing text, automated indexing, its the first collection in book form of the basic data structures and algorithms that are critical to the storage and retrieval of documents. ------------------Enthält die Kapitel: FRAKES, W.B.: Introduction to information storage and retrieval systems; BAEZA-YATES, R.S.: Introduction to data structures and algorithms related to information retrieval; HARMAN, D. u.a.: Inverted files; FALOUTSOS, C.: Signature files; GONNET, G.H. u.a.: New indices for text: PAT trees and PAT arrays; FORD, D.A. u. S. CHRISTODOULAKIS: File organizations for optical disks; FOX, C.: Lexical analysis and stoplists; FRAKES, W.B.: Stemming algorithms; SRINIVASAN, P.: Thesaurus construction; BAEZA-YATES, R.A.: String searching algorithms; HARMAN, D.: Relevance feedback and other query modification techniques; WARTIK, S.: Boolean operators; WARTIK, S. u.a.: Hashing algorithms; HARMAN, D.: Ranking algorithms; FOX, E.: u.a.: Extended Boolean models; RASMUSSEN, E.: Clustering algorithms; HOLLAAR, L.: Special-purpose hardware for information retrieval; STANFILL, C.: Parallel information retrieval algorithms
    Footnote
    Rez. in: Computing reviews. July 1993, S.341-342 (G. Salton)
    Pages
    504 S
    Type
    s
  5. Feder, J.D.; Hobbs, E.T.: Speech recognition and full-text retrieval : interface and integration (1995) 0.00
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    Pages
    S.97-104
  6. 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
  7. 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
  8. 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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    Source
    Information processing and management. 34(1998) no.6, S.709-720
  9. 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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    Source
    Information processing and management. 34(1998) no.6, S.721-731
  10. 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
  11. 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
  12. Pfeifer, U.; Pennekamp, S.: Incremental processing of vague queries in interactive retrieval systems (1997) 0.00
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    Pages
    S.223-236
  13. Wartik, S.: Boolean operators (1992) 0.00
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    Pages
    S.264-292
  14. Wartik, S.; Fox, E.; Heath, L.; Chen, Q.-F.: Hashing algorithms (1992) 0.00
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    Pages
    S.293-362
  15. 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
  16. Willett, P.: Best-match text retrieval (1993) 0.00
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    Source
    Library and information briefings. 1993, no.49, S.1-11
  17. Robertson, S.E.: OKAPI at TREC-1 (1994) 0.00
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    Pages
    19 S
  18. 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
  19. 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
  20. 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

Languages

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  • d 5
  • chi 2
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Types

  • a 97
  • m 4
  • s 3
  • p 2
  • r 2
  • el 1
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