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Data mining uses methods from artificial intelligence in a database context to discover previously unknown patterns. As such, the methods are usually unsupervised. It is closely related but not identical to machine learning. Key tasks of data-mining are cluster analysis, outlier detection and mining of association rules.

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When you trained on the training data, you scale the input values using a single global mean and variance that you calculate from the training set. So, you'll have one training set mean, a single scal …
answered Apr 23 '18 by Hugh Perkins