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Logical calculi for knowledge discovery in databases

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (1997) 1263 47-57
DOI: 10.1007/3-540-63223-9_105
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Abstract

Observational calculi were defined in relation to GUHA method of mechanising hypotheses formation. Formulae of observational calculi correspond to statistical hypothesis tests and various further assertions verificated in the process of data analysis. An example of application of the GUHA procedure PC-ASSOC is described in the paper. Logical relation among formulae of observational calculi are discussed and some important results concerning deduction rules are shown. Possibilities of applications of logical properties of formulae corresponding to hypotheses tests in the field of KDD are suggested.

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Rauch, J. (1997). Logical calculi for knowledge discovery in databases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1263, pp. 47–57). Springer Verlag. https://doi.org/10.1007/3-540-63223-9_105

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