Abstract
Knowledge Discovery in Databases (KDD) is a process involving many stages. One of them is usually Data Mining, i.e., the sequence of operations that leads to creation (discovery) of new, interesting and non-trivial patterns from data. Under closer examination one can identify several interconnected smaller steps that together make it possible to go from the original low-level data set(s) to high-level representation and visualisation of knowledge contained in it.
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Szczuka, M. (2011). The Use of Rough Set Methods in Knowledge Discovery in Databases. In: Kuznetsov, S.O., Ślęzak, D., Hepting, D.H., Mirkin, B.G. (eds) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. RSFDGrC 2011. Lecture Notes in Computer Science(), vol 6743. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21881-1_6
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