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. © 2011 Springer-Verlag.
CITATION STYLE
Szczuka, M. (2011). The use of rough set methods in knowledge discovery in databases: Tutorial abstract. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6743 LNAI, pp. 28–30). https://doi.org/10.1007/978-3-642-21881-1_6
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