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In unsupervised data mining, explanations are created after patterns are found.

  • A.True
  • B.False

Answer: A

Correct answer: True

This is what makes the technique unsupervised: no model or hypothesis is specified in advance, so the analyst applies the technique, sees what patterns emerge, and only then constructs an explanation for them. Supervised mining works the other way, specifying a model first and then fitting it to estimate its parameters.

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