有数据挖掘和英语好的吗，给看看，要交毕业论文了，实在不会翻译了
Discovered patterns can also be found interesting if they confirm or validate a hypothesis sought to be confirmed or unexpectedly contradict a common belief. This brings the issue of describing what is interesting to discover, such as meta-rule guided discovery that describes forms of rules before the discovery process, and interestingness refinement languages that interactively query the results for interesting patterns after the discovery phase. Typically, measurements for interestingness are based on thresholds set by the user. These thresholds define the completeness of the patterns discovered.
Identifying and measuring the interestingness of patterns and rules discovered, or to be discovered, is essential for the evaluation of the mined knowledge and the KDD process as a whole. While some concrete measurements exist, assessing the interestingness of discovered knowledge is still an important research issue.
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如果发现模式证明一个假设是正确的，而这个假设正是人们尝试去证明的，或是不经意与常识相违背的，那么发现模式就是有趣的。这也同样带来了一个问题--什么是令人感兴趣的发现。比如在发现规则之前描述规则的meta-rule，还有在发现规则之后查询令人感兴趣的模式的 interestingness refinement。很典型的方法是，由用户设置衡量兴趣度的阈值。这些阈值规定了模式发现的复杂性。
衡量已经发现的或将要被发现模式和规则的兴趣度，对于评价已挖掘的知识和知识发现过程都是必要的。然而涉及到一些具体的方法，评价知识发现的兴趣度仍然是一个重要的研究课题。
注：其中meta-rule 和interestingness refinement languages 都是规则或模式，是很专业的词汇，我不便翻译。
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强人
