隐含的知识 meaning in English
tacit knowledge
Examples
- Can we find potential knowledge by using data mining technology and reduce the reliance on the field expert
能否通过数据挖掘技术获得隐含的知识，从而进一步降低cbr系统对领域专家的依赖性呢 - With the increasingly keen industry competition caused by the globalization of economy , enterprises in information age are compelled to capture opportunities and build up their core competition ability by utilizing knowledge concealed in large amount of data
经济的全球化导致行业的市场竞争日益激烈，信息时代的企业必须利用大量数据中隐含的知识才能抓住时机，提升核心竞争力。 - Soft computing includes artificial neural network , fuzzy logic , evolutionary algorithms , rough set ( rs ) theory , etc . as a new soft computing , rough set can analyze and handle imprecise , inconsistent and incomplete data efficiently . in addition , connotative knowledge and latent rules will be discovered by using rough set theory
粗糙集理论是一种较新的软计算方法，它能有效地分析和处理不精确、不一致、不完整等各种不完备信息，并从中发现隐含的知识，揭示潜在的规律，是一个强大的数据分析工具，具有良好的容错性能。 - Web data mining has been combined with electronic commerce on this occasion . it is a new branch of data mining and focuses on the research in the internet on how to find out all implicit knowledge modes among all kinds of data including web logs , user register information , web page etc , and on how to gain some predictive information
Web数据挖掘就在这样的背景下与电子商务结合在一起，它是在internet出现后产生的数据挖掘一个新的分支，主要研究在internet网络上，对各种数据源，如web日志、用户登记信息、页面内容等，利用数据挖掘技术寻找网络上数据间各种隐含的知识模式和获取一些预测性信息。 - It is a difficult problem relates to the structure identification of the system and concerns with the partition of the input and output space and the rule generation of the raw sample data . rough set theory , introduced by zdzislaw pawlak in the early 1980s , is another new powerful mathematical tool to deal with vagueness and uncertainty . it can analyze the imprecise , inconsistent and incomplete information effectively , find out the connotative knowledge and detect the potential rule of the system under consideration
由z . pawlak提出的粗糙集理论是一种刻划不完整性和不确定性的又一个强有力的数学工具，能有效地分析不精确( imprecise ) 、不一致( inconsistent ) 、不完整( incomplete )等各种不完备的信息，还可以对数据进行分析和推理，从中发现隐含的知识,揭示潜在的规律。