Summary
An attempt to develop and apply logical calculi in exploratory data analysis was made 30 years ago. It resulted in a definition and study of observational logical calculi based on modifications of classical predicate calculi and on mathematical statistics. Additional results followed the definition and first implementations of the GUHA method of mechanizing hypothesis formation. The GUHA method can be seen as one of the first data mining methods. Applications of modern and enhanced implementation of the GUHA method confirmed the generally accepted need to use domain knowledge in the process of data mining. Moreover it inspired considerations on the application of logical calculi for dealing with domain knowledge in data mining. This paper presents these considerations.
The work described here has been supported by Grant No. 201/08/0802 of the Czech Science Foundation and by Grant No. ME913 of Ministry of Education, Youth and Sports, of the Czech Republic.
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Rauch, J. (2009). Considerations on Logical Calculi for Dealing with Knowledge in Data Mining. In: Ras, Z.W., Dardzinska, A. (eds) Advances in Data Management. Studies in Computational Intelligence, vol 223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02190-9_9
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