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Hypothesis-testing and hypothesis-generating

What is the main difference between the hypothesis-testing and hypothesis-generating approaches to data mining?

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In hypothesis testing, data mining is employed to determine whether and beneath what conditions a proposed pattern exists in a big data set. In hypothesis generation, data mining is employed to discover patterns in the data devoid of prior knowledge of what types of patterns may exist.

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