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Describe the main difference between the hypothesis-testing and hypothesis-generating approaches to data mining.
In hypothesis testing, data mining is used to determine whether and under what conditions a proposed pattern exists in a large data set. In hypothesis generation, data mining is used to discover patterns in the data without prior knowledge of what kinds of patterns might exist.
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