数据丰富而知识贫乏的状况导致了数据仓库和数据采掘技术的出现，引起了许多不同领域的人们的极大关注。
The circumstances of rich data and lack of knowledge lead to the emergence of technology of data warehouse and data mining, and arouse the interests of people in various fields.
决策树算法通过构造精度高、小规模的决策树采掘训练集中的分类知识。
Decision tree algorithm is that the category knowledge of the training set is mined through built high precision and small-scale decision tree.
数据采掘，也称数据库中的知识发现。
Data mining, also known as knowledge discovery in databases.
因此，适用于具有概率统计特征的数据采掘和知识发现问题，尤其是样本难以获取或代价过于昂贵的问题。
Therefore, it is the same with Data Mining with probability statistic character and knowledge discovery problems, especially with die problems that obtain sample information or need high cost.
因此，适用于具有概率统计特征的数据采掘和知识发现问题，尤其是样本难以获取或代价过于昂贵的问题。
Therefore , it is the same with data mining with probability statistic character and knowledge discovery problems , especially with die problems that obtain sample information or need high cost.
本文通过研究采掘领域的专家知识，构造了采掘计划的规则库，并设计了基于产生式规则的推理程序。
Through studying the expert knowledge of mining scheduling, this paper constructed a mining rule base for mining scheduling, and designed a ratiocinate program based on production rules.
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。
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.
多媒体数据采掘是从大型多媒体数据库中提取高层的多媒体信息及知识。
Studying, Designing And Implement Of Data Model For Interoperability Between Relation Database And Multimedia Database;
多媒体数据采掘是从大型多媒体数据库中提取高层的多媒体信息及知识。
Studying, Designing And Implement Of Data Model For Interoperability Between Relation Database And Multimedia Database;
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