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What kind of DM problem am I?
I'm tasked with outlining improvements that can be made based on the data but I'm finding it difficult to identify the datamining task to be carried out.
Association Rules would only tell me whats commonly/ rare occuring in relation to attribute values
Clustering is subjective so only really ends up describing whats similar /dissimilar in the dataset not what improvements should be made because of that.
Classification allows me to identify what type of class label should be applied based on past events
Besides pre-processing & outlier identification I'm not sure how to define the problem as a data mining question