数据挖掘是什么意思_数据挖掘用英语怎么说_数据挖掘的翻译_数据挖掘翻译成_数据挖掘的中文意思_数据挖掘怎么读,数据挖掘的读音,数据挖掘的用法,数据挖掘的例句

As to sequential pattern mining, mining algorithm is very important.

对于序列模式数据挖掘来说, 挖掘算法是系统成功的关键.

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It generally was divided into descriptive data mining and predictive data mining.

一般将数据挖掘分为描述数据挖掘和预测数据挖掘两大部分.

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Finally, three main applications of data warehouse are depicted in detail.

最后阐述了数据仓库的三大应用:灵活报表、OLAP分析、数据挖掘.

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Several session mining on sequential time intervals achieve a rule measure sequence.

对若干连续期间的数据挖掘将形成规则的度量值序列.

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Data Mining. You've probably heard of it. Or maybe you've heard of data warehousing.

数据挖掘, 你可能已经听说过, 或者你可能听说过数据仓储.

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Data Mining is acquire and mine knowledge from mass data.

数据挖掘就是从大量的数据中提取或挖掘知识.

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This topic in development uses data warehouse and data mining technology.

本课题在开发中使用数据仓库及数据挖掘技术.

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The genetic algorithm plays an important role in area of data mining.

遗传算法在数据挖掘中有着重要的地位.

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Clustering is an efficient method of data mining and text mining.

聚类是一种有效的数据挖掘和文本挖掘方法.

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Finally, the improved algorithm NEA is applied in the evaluation of teaching.

最后将关联规则数据挖掘的方法运用到课堂教学评价中.

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The algorithm will have important application in high attribute dimensional data mining.

该方法将在高属性维稀疏数据挖掘中起重要的作用.

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Data mining technique is briefly introduced in the paper.

摘要文章简要介绍数据挖掘技术.

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All these characteristics determine the system and method of Data Mining.

这些特点决定了数据挖掘的内容体系和研究方法.

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Mining maximum frequent patterns is a key problem in data mining research.

挖掘最大频繁模式是多种数据挖掘应用中的关键问题.

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Discussing Data Mining application in CRM and its implement step.

探讨了数据挖掘在CRM的应用及实施步骤.

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