Data mining provides good technology support for data warehouse-based decision support system, and data mining tools can directly mining in data warehouse for discovering potential knowledge.
数据挖掘工具将为基于数据仓库的决策支持系统开发提供良好的技术支持，以发现数据仓库中潜在的知识。
Decision table is a kind of special and important knowledge system which has been applied in the decision support and data mining fields widely.
决策表是一种特殊而重要的知识系统，在决策支持和数据挖掘等领域有着重要的应用。
Mining data from a large number of day-to-day accumulation of data found potential, valuable information and knowledge, used to support decision-making.
数据挖掘能从大量的日常积累的数据中发现潜在的、有价值的信息和知识，用于支持决策。
How to discover the rules and knowledge hiding in these data so as to provide the assistant decision support has become an urgent problem to be solved.
如何发现隐含在这些数据中的规则和知识，并辅助决策，成了亟待解决的问题。
The purpose of data mining is to discovery hidden and useful knowledge which can support the science decision from huge amounts of data.
数据挖掘的任务是从海量数据中发现隐含的有用知识，为科学决策提供支持。
Biomedical ontologies provide essential domain knowledge to drive data integration, information retrieval, data annotation, natural-language processing and decision support.
生物医学本体论提供了必要的领域知识以驱动数据整合、信息检索、数据注释、自然语言处理和决策支持。
Biomedical ontologies provide essential domain knowledge to drive data integration, information retrieval, data annotation, natural-language processing and decision support.
生物医学本体论提供了必要的领域知识以驱动数据整合、信息检索、数据注释、自然语言处理和决策支持。
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