It's a bad data mining model for this data.
对于这类数据，分类树是一种极不适合的数据挖掘模型。
Putting forward a Data Mining model and some current problems.
提出了数据挖掘逻辑模型及存在的一些问题。
We propose a data mining model based on clustering and rough set.
提出了一种基于聚类和粗糙集的数据挖掘模型。
It's much easier to run the data mining model than to load the data into it.
运行数据挖掘模型要比将数据载入模型简单得多。
The resulting XML data mining model is stored in the database and can be accessed through SQL/XQuery.
这样得到的XML数据挖掘模型存储在数据库中，可以通过 SQL/XQuery进行访问。
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。
Oilfield water supplying payment warning system for verifying the data mining model is also described.
作为对数据挖掘模型的验证，介绍了供水公司水费收缴预警系统。
Through to forecast the result with the real time contrast, indicated the data mining model is effective.
通过对预测结果同实际发生事件的对比，表明数据挖掘模型是有效的。'）；
The rules of information containing the time sequences data were discovered by using this data mining model.
通过使用这种方法能够对含有时序数据的信息进行充分的挖掘并发现其中的规律。
The extension data mining model, which is given in this article, is favorable to using existing data for making decision.
提出的可拓数据挖掘模式，有利于利用现存数据更好地为决策服务。
Finally aims at the tradition to have the impractical characteristic, proposed data mining model based on the rough set theory.
针对传统的基于粗糙集理论的数据挖掘模型存在不实用的特点，提出了一种改进的数据挖掘模型。
Based on the characteristics of coal preparation plant, horizontal data mining model and vertical data mining model were built in this paper.
针对选煤厂的特点，建立了水平式数据挖掘模型和垂直式数据挖掘模型。
As for the RS image data mining model (RSDMM) and its implements, the RSDMM's architecture and its creation, training, and prediction is discussed.
在遥感图像数据挖掘模型与实现方面，提出了遥感图像数据挖掘模型结构。基于该模型进行创建、训练和预测。
The paper establishes decision-making tree data mining model and clustering data mining model to make data mining with a multi-dimension data collection.
建立了渔船决策树挖掘模型及渔船年审聚集挖掘模型，对多维数据集进行了数据挖掘。
Design mode includes a graphical design surface used for selecting a single data mining model and input table, and a grid used for specifying the prediction query.
设计模式包含用于选择单个数据挖掘模型和输入表的图形设计图面，同时还包含用于指定预测查询的网格。
AlphaMiner is an open source data mining platform that offers versatile data mining model building and data cleansing features with an user friendly workflow interface.
是个开源的数据挖掘平台，通过一个用户友好的工作流接口提供通用数据挖掘模型的构建和数据清洗功能。
The DM and OLAP are the critical techniques of data analysis, the multi dimensional data mining model combining both techniques can enhance the performance and effects of data analysis.
DM技术与OLAP技术是电力营销决策支持系统中的关键数据分析技术，二者有机结合构成的多维数据挖掘模型能提高数据分析的效果和性能。
This article introduces grey theory into logistics trade, and builds data mining model based on grey theory to solve the practical problem in logistics enterprises' management and decision.
本文提出灰色系统的理论与方法在物流行业的应用，针对物流企业管理决策的实际问题建立基于灰色系统理论的数据挖掘模型。
Introduced the case-based reasoning of data mining technique and the realized method, took this as the basis to build up the data mining model of the body detection information analysis system.
介绍了基于案例推理的数据挖掘技术及其实现方法，以此为依据建立体检信息分析的数据挖掘模型。
The application of grey data mining model in the management and decision of logistics enterprises has proved that the grey forecasting model and clustering model is effective and of practical value.
灰色数据挖掘模型在物流企业的管理决策问题中的应用证明了基于灰色系统理论的灰色预测和聚类模型是有效的、具有实用价值的数据挖掘模型。
Since there are so many techniques with data mining, the major step to creating a good model is to determine what type of technique to use.
由于现在已经有很多数据挖掘技术，因此创建一个好的模型的最主要的步骤是决定要使用哪种技术。
A mining model describes the data that you will use, as well as other input parameters necessary for the model to run.
挖掘模型描述了您将使用的数据，还有其他为运行模型所必需的输入参数。
The ultimate goal of data mining is to create a model, a model that can improve the way you read and interpret your existing data and your future data.
数据挖掘的最终目标就是要创建一个模型，这个模型可改进您解读现有数据和将来数据的方式。
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。
Part 3 will bring the "Data mining with WEKA" series to a close by finishing up our discussion of models with the nearest-neighbor model.
第3部分是“用WEKA进行数据挖掘”系列的结束篇，会以最近邻模型结束我们对模型的讨论。
That takes us to an important point that I wanted to secretly and slyly get across to everyone: Sometimes applying a data mining algorithm to your data will produce a bad model.
这也是我想审慎地告诉大家的一点：有时候，将数据挖掘算法应用到数据集有可能会生成一个糟糕的模型。
This fact leads data-mining mechanisms to imply semantics to the data being processed to define a useful data model.
这一事实导致数据挖掘机制对正在被处理的数据隐含了一些语义，以便定义一个有用的数据模型。
Finally, this article discussed the first data-mining model, the regression model (specifically, the linear regression multi-variable model), and showed how to use it in WEKA.
最后，本文探讨了第一个数据挖掘模型：回归模型(特别是线性回归多变量模型)，另外还展示了如何在WEKA中使用它。
Score new data using the mining model
使用挖掘模型对新数据进行评价
Score new data using the mining model
使用挖掘模型对新数据进行评价
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