如柯林斯系列学习词典中的句子释义,朗文系列学习词典 的词目中所设置的“Usage (用法) 、Useful Patterns(有用句型) 、Study Notes(学习提示) 等专栏。但是这些词 典的编纂者不一定了解中国人学习英语特有的难点。
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Data mining is a process of identifying novel and potentially useful patterns in data.
数据发掘是从大量数据中发掘出新的、有用模式的过程。
Besides, there are useful patterns, idiomatic expressions and additional words and phrases with both English and Chinese equivalents.
除此之外,有许多有用的句型,惯用语和带有中英文的附加词汇与短语。
Data mining (DM) is to extract knowledge from huge datasets, the purpose of which is to find the useful patterns hidden behind the data.
数据挖掘(DM)就是从大型数据集中抽取知识,其目的是发现深藏在一般数据之中的有用模式。
These patterns of "I've been" are so useful to say what you want to do in the future in relationship to the past.
当你想表达过去与你将来想做的事情之间的联系时,“I've been”句型特别有用,
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