Data Mining is the process of extracting hidden knowledge from large volumes of raw data.
数据挖掘是从大量原始数据中抽取隐藏知识的过程。
Data mining can mine and discover valuable and hidden knowledge from databases for modeling and optimization.
数据挖掘技术能从大量数据中挖掘和发现有价值和隐含的知识，用于建模和优化。
Clustering analysis is an important research field of data mining, through which we can find hidden knowledge behind mass data.
聚类分析是数据挖掘中的一项重要技术，通过聚类可以发现隐藏在海量数据背后的知识。
Data mining technique can mine and discover valuable and hidden knowledge from databases, so it has been widely studied and applied.
数据挖掘技术能从大量数据中挖掘和发现有价值和隐含的知识，因而得到广泛的研究和应用。
The use of knowledge management in library is to mine hidden knowledge and turn it into explicit knowledge.
知识管理在图书馆中的运用是挖掘隐性知识，使其成为显性知识。
Concept lattice is a powerful tool for concept discovery from data, used to extract hidden knowledge pattern in data.
而概念格正是从数据中进行概念发现的有力工具，用来发现数据中隐藏的知识模式。
Spatial Data Mining (SDM) is a technology which can extract interested and hidden knowledge and spatial relationships.
空间数据挖掘(SDM)是从空间数据中抽取令人感兴趣的、隐含的知识和空间关系。
Mining the hidden knowledge in the spatial data of Geographic Information System (GIS) is an important direction in the study fields of GIS and data mining.
挖掘隐藏在地理信息系统(GIS)的空间数据中的知识是GIS研究领域和数据挖掘领域的重要方向。
This paper describes the content and development in the research of the hidden knowledge discovery in biomedical literature and implements a biomedical hidden knowledge discovery system.
本文对隐含医学知识发现的研究内容、研究成果进行了阐述，并设计和实现了一个生物医学领域的隐含知识发现系统。
The rough set theory can effectively analyze and deal with imprecise, incomplete, inconsistent and incomplete information, etc., and can find hidden knowledge, revealing the potential of knowledge.
粗糙集理论能有效地分析和处理不精确、不一致和不完整等各种不完备信息，并能从中发现隐含的知识，揭示潜在的规律。
The rough set theory can effectively analyze and deal with imprecise, incomplete, inconsistent and incomplete information, etc., and can find hidden knowledge, revealing the potential of knowledge.
粗糙集理论能有效地分析和处理不精确、不一致和不完整等各种不完备信息，并能从中发现隐含的知识，揭示潜在的规律。
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