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- W1488122801 abstract "This paper tackles the problem of knowledge discovery in text collections and the dynamic display of the discovered knowledge. We claim that these two problems are deeply interleaved, and should be considered together. The contribution of this paper is fourfold: (1) description of the properties needed for a high level representation of concept relations in text (2) a stochastic measure for a fast evaluation of dependencies between concepts (3) a visualization algorithm to display dynamic structures and (4) a deep integration of discovery and knowledge visualization, i.e. the placement of nodes and edges automatically guides the discovery of knowledge to be displayed. The resulting program has been tested using two specific data sets based on the specific domains of molecular biology and WWW howtos.KeywordsGraph StructureConditional EntropyHigh Level RepresentationText CollectionDynamic DisplayThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W1488122801 created "2016-06-24" @default.
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- W1488122801 date "2002-01-01" @default.
- W1488122801 modified "2023-10-02" @default.
- W1488122801 title "Incremental and Dynamic Text Mining" @default.
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- W1488122801 doi "https://doi.org/10.1007/3-540-48050-1_30" @default.
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