他们可以是简单的数据挖掘软件，或者可以筛选更多信息去发现更精细的部分的为具体、扩展任务深度定制的软件。
These can be simple data mining software or highly specific for detailed and extensive tasks that will be sifting through more information to pick out finer bits of information.
数据挖掘是数据库和信息决策领域的一个理论前沿，是知识发现的核心部分。
Data mining is a theory forward in the field of database and decision-making information, It is core of the knowledge discovery.
并通过对ML_DFPT算法进行部分修改，使算法可根据跨层挖掘信息在特定的层间挖掘出层间关联规则。
By modifying, the algorithm ML_DFPT can also distribute mine of cross level association rules using cross level mining information.
聚类分析作为数据挖掘技术的重要组成部分，是分析海量、复杂数据的有效工具，获取智能决策信息的主要手段。
As an important section of data mining, clustering is an effective tool for analyzing large amount and complicate data and a major means for get intelligent decision-making information.
聚类分析作为数据挖掘技术的重要组成部分，是分析海量、复杂数据的有效工具，获取智能决策信息的主要手段。
As an important section of data mining, clustering is an effective tool for analyzing large amount and complicate data and a major means for get intelligent decision-making information.
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