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Data Mining Functions

Clustering into ‘natural’ groups (unsupervised)

Classification into known classes; e.g. diagnosis  (supervised)

Detection of associations; e.g. in basket analysis:

    ”70% of customers buying bread also buy milk

Detection of sequential temporal patterns;  e.g. disease development

Prediction or estimation of an outcome

Time series forecasting

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