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  • × theme_ss:"Retrievalalgorithmen"
  • × theme_ss:"Automatisches Indexieren"
  1. Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986) 0.02
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    Source
    Information processing and management. 22(1986) no.6, S.465-476
  2. Can, F.: Incremental clustering for dynamic information processing (1993) 0.01
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    Abstract
    Clustering of very large document databases is useful for both searching and browsing. The periodic updating of clusters is required due to the dynamic nature of databases. Introduces an algorithm for incremental clustering and discusses the complexity and cost of analysis of the algorithm together with an investigation of its expected behaviour. Shows through empirical testing that the algortihm achieves cost effectiveness and generates statistically valid clusters that are compatible with those of reclustering. The experimental evidence shows that the algorithm creates an effective and effecient retrieval environment
    Source
    ACM transactions on information systems. 11(1993) no.2, S.143-164
  3. Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986) 0.00
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    Date
    14. 6.2015 22:12:44
  4. Fuhr, N.: Rankingexperimente mit gewichteter Indexierung (1986) 0.00
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    Date
    14. 6.2015 22:12:56

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