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- The confusion matrix and mathematical programming model are used to assess the classification data mining tools for its value. 利用马尔可夫转移概率矩阵与数学规划模型对分类型数据挖掘工具进行价值评估,确定分类型数据挖掘工具带来的价值;
- Application of Classification Data Mining in Secondary Vocation Education 分类挖掘在中职教学中的应用
- classification data mining 分类挖掘
- Data mining is to extract knowledge from information. 资料开采是从各种资讯中获得知识。
- Clustering is a major method of data mining. 摘要聚类是数据挖掘中的主要方法。
- Understanding data mining may be important to you. 理解数据挖掘可能对你很重要。
- In its most basic form, data mining is very simple. 以其最基本的方式，数据采集就简单了。
- Data mining tools yield five types of information. 数据开采工具得到五类信息。
- An available answer is Data Mining. 可行的方法之一就是利用数据挖掘技术。
- Outlier mining is an important part of data mining. 摘要离群数据挖掘是数据挖掘的重要内容。
- CUG, Research Areas: Database and Data Mining. 研究生毕业，研究方向：数据库与数据挖掘技术。
- Secondly, this thesis studies the email data mining technology especially the email classification method. 其次,本文在对邮件数据挖掘技术进行介绍的基础了上,重点研究了电子邮件分类的技术,对电子邮件分类的过程,常用方法作了论述。
- Classification is an important research field in data mining, pattern recognition and machine learning. 分类是数据挖掘、机器学习和模式识别中一个重要的研究领域。
- Classification is an important sub-branch of Data Mining, which aims to build the classifier used to predict the class label of new coming data. 分类(Classification)是数据挖掘领域的一个重要研究分支，分类首先要构造分类器，并对依据分类器对新数据进行类别预测。
- Spatial data mining is a promising field, where the research work on spatial data classification is still in its initial stage. 空间数据采掘是一个很有发展前景的领域 ;其中空间数据分类的研究尚处在起步阶段 .
- Aim at vector graphic data displaying in mobile GIS on PDA , this paper proposed a new sliced & classification data structure which is adapt to using on PDA. 本文针对PDA的特点,提出了数据分块加载,分级显示的数据结构模型,实验结果表明该数据模型能够显著的提高大数据量的矢量地图数据的显示速度,可用于PDA上矢量数据的快速显示。
- The experiment proved that it not only results the problem of small disjuncts in data mining but also proved the classification accurate rate. 实验证明，它不仅解决了数据挖掘中的“碎片”问题，同时还提高了分类的准确率。
- This article puts forward the problems existed in OPAC classification data,analyzes the reasons of these problems,and gives the suggestions to improve it. 本文指出了OPAC分类数据中存在的问题,并对存在问题的原因进行了剖析,提出了改进建议。
- In the near future study of the distributed data mining. 文摘链接:分布式数据开采研究。
- Therefore, an algorithm (AMDMC) based on multi-discernibility matrix is introduced to computation of a core for the case of unbalanced classification data. 为此，针对不平衡分类数据隋况，提出一种基于多差别矩阵的核求解算法。
