Data Mining, also referred to as Knowledge Discovery from database, is to abstract the potential, unknown and useful information or pattern from the large database or data warehouse.
数据挖掘，又称数据库中的知识发现，是指从大型数据库或数据仓库中提取隐含的、事先未知的、潜在有用的信息或模式。
Data Mining, also known as knowledge Discovery in Database, distills knowledge from a mass of data.
数据挖掘就是从海量数据中提取知识，又被称为数据库中的知识发现。
It is how to find knowledge from DB that results in knowledge Discovery in Database.
如何从这些海量数据中发现知识，导致了知识发现和数据挖掘领域的出现。
Writer proposes a framework for the automated translation of the output from knowledge discovery systems to active database rules.
作者对知识发现系统的输出提出了一种自动转换到主动数据库规则的结构。
This paper discusses our research in discovery useful knowledge from a structured database. This research is an extended on our previous work.
讨论了在结构化的数据库中发现有用知识的一些研究工作。
The data mining is also called the knowledge discovery in database, which discovers from large quantity of data and find authentic, novel and effective model that can be comprehended by people.
数据挖掘可以称为数据库中的知识发现，它是从大量数据中发现并提取隐藏在其中的可信的、新颖的、有效的并能被人理解的模式的高级处理过程。
The data mining is also called the knowledge discovery in database, which discovers from large quantity of data and find authentic, novel and effective model that can be comprehended by people.
数据挖掘可以称为数据库中的知识发现，它是从大量数据中发现并提取隐藏在其中的可信的、新颖的、有效的并能被人理解的模式的高级处理过程。
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