Data mining, also known as knowledge-discovery in databases (KDD), is the practice of automatically searching large stores of data for patterns.
数据挖掘，或者叫做数据库知识发现，是一种自动在大量数据中寻找具有某种相同属性集合的技术。
Knowledge discovery in databases is the nontrivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in large data set.
数据库中的知识发现是指在大型数据集中识别有效、新奇、潜在有用、且最终可理解模式的非平凡的过程。
Applying KDD (Knowledge Discovery in Databases) technology in data analysis is helpful to improve data-analysis ability and productivity in photosensitive materials enterprises.
应用KDD技术进行数据分析，对于提高感光材料企业数据分析水平和生产效率具有积极意义。
Data mining, referred to as knowledge discovery in databases, is the extraction of patterns representing valuable knowledge implicitly stored in large databases or data warehouses.
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具有潜在应用价值的知识或模式。
Data mining is the core of knowledge discovery in databases. Concept tree method is one of the most important methods. In this paper, presentation of an approach to deal with fuzziness was discussed.
数据采掘是数据库中知识发现的核心，详细描述了数据采掘中概念树方法在模糊性问题中的应用。
However, as well known, there are many issues in databases, such as redundant data, missing data, uncertain data, inconsistent data, and so on, they are the barriers to knowledge discovery.
然而，众所周知，数据库中往往存在冗余数据、缺失数据、不确定数据和不一致数据等诸多情况，这些数据成了发现知识的一大障碍。
Spatial association rule discovery in spatial databases is a very important data mining task.
空间关联规则挖掘是在空间数据库中进行知识发现的一类重要问题。
Data mining is the discovery of useful and potential knowledge hiding in databases.
数据挖掘主要是用来找出隐藏在数据库当中那些有用的而未被发现的知识。
There have been many algorithms proposed for efficient discovery of association rules in large databases. However, little work has been done on maintenance of discovered association rules.
目前已经提出了许多用于高效地发现大规模数据库中的关联规则的算法，而对已发现规则的更新及维护问题的研究却较少。
A method for query evaluation in deductive databases is presented, based on discovery of axioms and facts relevant to given query.
在基于与给定查询相关的事实与公理的基础上，给出了演绎数据库的一个产生式推理方法。
A method for query evaluation in deductive databases is presented, based on discovery of axioms and facts relevant to given query.
在基于与给定查询相关的事实与公理的基础上，给出了演绎数据库的一个产生式推理方法。
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