查询词典 data mining

Anomaly detection is not only an important technique of data preprocessing, but also an important technique of data mining.

异常样本检测既是一种重要的数据预处理技术，又是一种重要的数据挖掘方法。

Methods: data mining technology based on the rough set theory was used to pretreat the diagnosed cases and data reduction, to acquire bone tumor diagnostic knowledge automatically and set up diagnostic knowledge base.

采用基于粗糙集理论的数据挖掘技术，对已确诊的病例资料进行预处理、数据简约等过程，自动的获取骨肿瘤诊断知识，建立诊断知识库。

Among these, data reduction techniques can be applied to obtain a reduced representation of the data set that is smaller in volume and speed up the mining process.

其中数据缩减技术最大限度地精简数据量，提高数据挖掘的执行速度与效率。

This paper,by applying data mining to analyze the experiment data of eomecon chinanthe alkaloids against oncomelania,gives a new analysing method of multi-factors model,unveils the regular pattern of every factor of the new medicine against oncomelania,and opens out the optimal solution for application.It supplys the theory basis in using eomecon chinanthe alkaloids against oncomelania in reason.

通过应用数据挖掘技术对生物碱杀螺剂实验数据的分析处理，提出了一种新的多因素模型推导方法，揭示了药物杀螺过程中各个影响因素的变化规律，给出了生物碱杀螺剂在实际应用中的最优参考条件，为合理利用生物碱杀螺剂进行最优效果的杀螺提供了理论依据。

Data Mining relates to statistics, AI, fuzzy theory, database technology etc, huge quantity data and retractile of algorithm are emphasized, it is also a technology approaching applied, so it is difficult to realize.

数据挖掘涉及到统计学、人工智能、模糊理论和数据库技术等多种技术，它强调的是大量数据和算法的可伸缩性，是一门很接近实用的技术，其技术含量比较高，实现难度也较大。

Data Mining relates to statistics, AI, fuzzy theory, database technology etc, huge quantity data and retractile of algorithm are emphasized, it is also a technology approaching applied.

数据挖掘汇集了统计学、机器学习、数据库、模式识别、人工智能等学科的内容，是一门新兴的交叉学科。

The clustering for high-dimensional sparse data is one of important problem which need to be solved in the field of data mining.

在聚类分析的研究中，有许多问题亟待解决，尤其是针对高维稀疏数据的处理能力方面更为突出。

To someone concerned with data mining, however, many millions or even billions of data points is not unexpected— gigabyte and even terabyte databases are by no means uncommon.

然而对于致力于数据挖掘的人来讲几百万甚至几十亿的数据点是并不意外-GB甚至TB数据库也绝非罕见。

Data Mining is a worthy technology that takes potential and unbeknown information out of a huge numbers of data to guidance the practice.

数据挖掘是从大量数据中抽取出潜在的、不为人知的有用信息、模式和趋势，并用于指导实践。

Data mining means extract hidden, unbeknown, valueable knowledge and rules from large databases or data warehouse.

数据挖掘是指从大型数据库或数据仓库中提取出隐含的、先前未知的、对决策有潜在价值的知识和规则。

Don not attempt to do something which you can not to do.

不要企图做那些办不到的事情。

The expression of CTGF and TNF-αweredetected by immunochemistry and the number of Clara Cells was calculated.

光镜下观察肺组织的病理变化，采用免疫组化染色观察肺组织中结缔组织生长因子和肿瘤坏死因子-α的表达和Clara细胞的数量。