Modelling techniques come from fields of machine learning, signal processing, evolutionary computing and statistics. Techniques are one thing that makes data mining so specific. Modelling techniques in data mining have also one important characteristic - they au
tomaticaly generate new propositions (models), about relations among important variables
in the data, which is an added value to traditional confirmatory statistical analyses.
Due to the essential impact that modelling techniques have on DM process, in the table bellow you
will find links to parts of the tutorial devoted to more thorough presentation of basic features of data mining modelling techniques and their application.
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Last modified: March 28 2017 05:23:30.