在一般意义下，数据挖掘与知识发现的概念一致。
In general, the concept of data mining is the same as that of KDD.
贝叶斯网络分类器是数据挖掘与知识发现领域研究的主要方法之一。
Bayesian network classifier is one of the main research methods in data mining and KDD domain.
数据挖掘与知识发现技术可以从大量的数据中抽取出隐含的、以往未知而又非常有意义和有用的信息。
Data mining and Knowledge discovery is the technology that can extraction of implicit, previously unknown, and potential useful information from data.
在日常生活中广泛存在着各种时间序列数据，发现时间序列知识、对时间序列进行预测正成为数据挖掘与知识发现的重要内容。
In our daily life, there are various kinds of time series data, and time series prediction becomes one of the important aspects of data Mining and Knowledge Discovery (DMKD).
并利用数据挖掘工具，发现隐藏在庞杂信息源中的知识和规律，为目标市场的分析与选择提供有价值的参考信息。
The knowledge and rule discovered by data mining tools are useful information for the analysis and selection of Objective market.
数据挖掘有着广泛的商业应用潜能，是知识发现与知识管理研究中的一个很有应用价值的新领域。
Data Mining share a wide range of potential commercial applications, knowledge management and knowledge discovery in the study of a promising new areas of application.
数据挖掘有着广泛的商业应用潜能，是知识发现与知识管理研究中的一个很有应用价值的新领域。
Data Mining share a wide range of potential commercial applications, knowledge management and knowledge discovery in the study of a promising new areas of application.
应用推荐