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Theory and Applications of Relational Structures as Knowledge Instruments. COST Action 274, TARSKI. Revised Papers

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    0404743 - UIVT-O 20030116 RIV DE eng M - Monography Chapter
    Hájek, Petr - Holeňa, Martin - Rauch, J.
    The GUHA Method and Foundations of (Relational) Data Mining.
    Theory and Applications of Relational Structures as Knowledge Instruments. COST Action 274, TARSKI. Revised Papers. Berlin: Springer-Verlag, 2003 - (de Swart, H.; Orlowska, E.; Schmidt, G.; Roubens, M.), s. 17-37. Lecture Notes in Computer Science, 2929. ISBN 3-540-20780-5
    R&D Projects: GA MŠMT OC 274.001
    Grant - others:COST(XE) Action 274 TARSKI
    Institutional research plan: AV0Z1030915
    Keywords : GUHA method * relational data mining
    Subject RIV: BA - General Mathematics

    The GUHA method of automatic generation of hypotheses and its underlying logical and statistical theory is surveyed. Links to the theory of information relations and to relational data mining are discussed. Logical foundations present an original approach to finite model theory with generalized quantifiers.
    Permanent Link: http://hdl.handle.net/11104/0124980

     
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