Abstract
Data mining is presented as a method for data analysis, that possesses the ability to discover new and so far hidden knowledge in existing databases. A brief presentation and categorization of data mining methods will be followed by the compilation of a catalogue of criteria. This catalogue enables the classification of the methods. The different algorithms to implement data mining methods are not regarded. In conclusion, the analysis process of data mining methods is systematized exemplary.
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Heidsieck, C., Uhr, W. (2000). Systematizing and Evaluating Data Mining Methods. In: Decker, R., Gaul, W. (eds) Classification and Information Processing at the Turn of the Millennium. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57280-7_22
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DOI: https://doi.org/10.1007/978-3-642-57280-7_22
Publisher Name: Springer, Berlin, Heidelberg
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