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The related terms data dredging, data fishing, and data snooping refer to the use of data mining methods to sample parts of a larger population data set that are (or may be) too small for reliable statistical inferences to be made about the validity of any patterns discovered. These methods can, however, be used in creating new hypotheses to test against the larger data populations.

The related terms data dredging, data fishing, and data snooping refer to the use of data mining methods to sample parts of a larger population data set that are (or may be) too small for reliable statistical inferences to be made about the validity of any patterns discovered. These methods can, however, be used in creating new hypotheses to test against the larger data populations.

相关术语'''<font color="#ff8000">“数据疏浚” Data Dredging</font>'''、“数据钓鱼”和“数据窥探”是指使用数据挖掘方法对较大的人口数据集中的一部分进行抽样，这些数据集太小（或可能太小），无法对所发现的任何模式的有效性作出可靠的统计推断。但是，这些方法可以用于提出新的假设，以针对更大的数据群体进行测试。

 

相关术语'''<font color="#ff8000">“数据疏浚” Data Dredging</font>'''、“数据钓鱼”和“数据窥探”是指使用数据挖掘方法对较大的人口数据集中的一部分进行抽样，这些数据集太小（或可能太小），无法对所发现的任何模式的有效性作出可靠的统计推断。然而，这些方法可以用于创建新的假设，以针对更大的数据群体进行测试。