探讨对挖掘出的离群数据集进行解释与分析的有效方法。
Some efficient methods of explaining and analyzing outliers is discussed in this paper.
针对各个假设的检验结果,本文作出了进一步的解释与分析。
For these results of the hypotheses, further explanation and analysis are given.
采用了属性构造法进行数据预处理,建立了数据挖掘模型,实现了关联规则算法,并对挖掘结果进行解释与分析。
A model of data mining is set up after preparation of data by means of attribute structure, and association rule algorithms are carried out. the data mining result is explained and analysed.
So let's look at a couple of passages from your sheet, from Heidegger's Being and Time, from his analytic of the hermeneutic circle, and see what Heidegger has to say about this claim.
所以我们看几篇文章,摘自海德格尔的存在与时间,从他对于解释学循环的分析,看看海德格尔对这个观点看法是何。
应用推荐