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The Knowledge Discovery Process refers to the technical steps of data acquisition,
data cleaning, data preparation as well as data mining and model testing.
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Data Mining is the step in the knowledge discovery process where
a Machine Learning algorithm is applied to learn a model which is used
to make predictions on new data.
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Preprocessing comprises all steps that are undertaken in order
to bring the data into a format that is accessible for data mining.
The result of preprocessing is the input for data mining without any further modifications.
The input for preprocessing is the data as it is stored in a data warehouse or even
the operational database of an institution.
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