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Classic Data Analysis is based on the assumption that the type of models or patterns sought for – such as association rules or decision trees – is known in advance. In reality, however, users often do not have sufficient insights into the underlying system to be able to limit the choice of models appropriately before the data analysis process begins. Worse, still, the users often do not even know what types of patterns they would consider interesting.

Explorative Data Analysis: from machine learning to discovery support systems