The new data has no classification (in this case, no checks on heart disease have been made) and the scoring process assigns a prediction to each new record according to the mining model.
新的数据没有分类别（这里是指还没有做过心脏病检查），评价过程根据挖掘模型将一个预测赋给每个新的记录。
This thesis applies data mining techniques to customer segmentation based on customer value matrix and builds the classification model of customer with different value.
本文把数据挖掘技术应用于基于客户价值矩阵的客户价值细分中，建立各类价值客户的分类模型。
The thesis also examines the rough set model based on classification accuracy. The MIE-RS data mining approach given later is based on the model.
另外，作者提出了基于分类正确度的粗糙集模型，该模型已用于作者研制的数据挖掘方法MIE-RS上。
Decision tree is an important method in induction learning as well as in data mining, which can be used to form classification and predictive model.
决策树是归纳学习和数据挖掘的重要方法，通常用来形成分类器和预测模型。
In the data mining stage, the paper first the data in the data mining model attribute classification.
在数据挖掘阶段，论文首先对数据挖掘模型中的数据进行属性分类。
Classification is an important sub-branch of data Mining, which can find out a model describing a predetermined set of data classes or concepts as used to predict the class label for a test sample.
分类是数据挖掘的一个重要分支，分类能找出描述数据类或概念的模型(或函数)，以便能使用模型预测类标记未知的对象类。
Classification is a very important task of data mining, its purpose is to find out classifying function or classifying model.
分类是数据挖掘中一项十分重要的任务，其目的是找出分类函数或者分类模型。
Classification, which is able to analyze and learn mass of relative data, establish corresponding classification model in some fields, is an important technique for data mining.
在数据挖掘中，分类是一种重要的技术，它能对大量有关数据进行分析、学习，并建立相应问题领域中的分类模型。
The part of data mining importantly studies the basic course of data mining, classification technology and late-model multidimensional data mining technology;
数据挖掘部分重点研究了数据挖掘的基本过程、分类技术和新型的多维数据挖掘技术；
The part of data mining importantly studies the basic course of data mining, classification technology and late-model multidimensional data mining technology;
数据挖掘部分重点研究了数据挖掘的基本过程、分类技术和新型的多维数据挖掘技术；
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