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。
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。
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。
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。
This release adds support for new SQL Server 2008 data mining features including holdout and cross-validation, a new Document Model wizard, and improvements to existing wizards.
此版本添加了新的SQLServer 2008数据挖掘功能支持，包括维持和交叉验证、新的文档模型向导和对现有向导的改进。
Thus, if the data warehouse is used for data mining, a low level of detailed data should be included in the model.
因此，如果数据仓库是用于数据挖掘的，就应该在模型中包含较低细节级(levelof detail)的数据。
The comprehensive integrated DSS, which composed of data warehouse and OLAP, data mining, model base and knowledge base system, is a more sophisticated form of DSS.
将数据仓库、OLAP、数据挖掘、模型库、知识库系统结合起来形成的综合集成决策支持系统是更高形式的决策支持系统。
In the end, a complete model of data mining is proposed.
最后给出了一个完整的数据挖掘模型。
A model of data mining is set up after preparation of data by means of attribute structure, and association rule algorithms are carried out. the data mining result is explained and analysed.
采用了属性构造法进行数据预处理，建立了数据挖掘模型，实现了关联规则算法，并对挖掘结果进行解释与分析。
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。
In view of this, how to utilize the data mining techniques to excavate out the good model, becoming a focus of present academia on all aspects of the banking.
有鉴于此，如何利用数据挖掘技术在银行业的各个方面挖掘出好的模型正在成为当前学术界的一个热点。
This hybrid model synthesizes the merits of multiple intelligent computation methods and offers a new effective solution of time series data mining.
该混合模型融合多种智能计算方法优点于一体，为时序数据挖掘提供了一种新的实用方法。
Furthermore, the paper gives a model of Corporation Competitive Intelligence System based on data mining and its relevant process.
在此基础上提出了一个基于数据挖掘的企业竞争情报系统模型，并介绍了相应的过程。
The results show that the self-organization data mining provides a new method to the model economic pre-warning.
研究结果表明，自组织数据挖掘方法将为经济预警提供一种新的模型预警法。
Because this Mining Model is based on multidimensional data, you can create a new dimension from it.
因为此挖掘模型是基于多维数据的，所以您可以用此模型创建一个新的维度。
After studying the analysis and comparison of the realization techniques of spatial database system and spatial data mining systems, we propose a development model of spatial data mining system.
在对空间数据库系统实现技术及空间数据挖掘系统等进行比较分析的基础上，提出了一种空间数据挖掘系统的实现模式。
A feature mining model was set up for rotating machine fault diagnosis, based on data mining.
在研究数据挖掘技术的基础上，建立了旋转机械故障诊断的特征挖掘模型。
A supervoxel data model is introduced to represent exactly the complex space distribution of geological data in the coal mining area.
首先建立了一种能够有效地表达矿区地质数据复杂空间分布的超体元数据模型；
This paper present a model of data mining based on rough set, from apply various reductive level algorithms on practical data to elicit information set, and get a rules set eventually.
本文提出一种基于粗糙集理论的数据挖掘模型，从实际数据出发，运用不同简化层次的算法，导出每个层次上的信息集，最后得到规则集。
Introduces the data mining technology into telecom fraud detection field, present a model of telecom fraud detection based on data mining.
将数据挖掘技术具体应用到电信欺诈侦测领域中，提出了一种基于数据挖掘的电信欺诈侦测模型。
It presents a new model for network fault management based on data fusion and data mining by defining and discussing the association rule and the frequent episodes.
并通过定义与深入分析故障告警中的关联规则和情节规则，提出了一个基于数据融合和数据挖掘技术的网络故障管理的架构模型。
In the paper, based on hyper graph theory, a hypergraph model is proposed, which is useful for spatial data mining.
该文基于超图理论提出了超图模型并将其用于空间数据挖掘。
Data mining is a type of process, which USES all kinds of analytical tools to search the relationship between the model and data in the sea of data.
数据挖掘是一个利用各种分析工具在海量数据中发现模型和数据间关系的过程。
With a research of the existing architecture model of DSS based on data warehousing and OLAP, we present a new DSS model that combines data mining and middle ware techniques.
研究目前常用的基于数据仓库和OLAP的决策支持系统模型，提出了在原有系统上结合数据挖掘技术和中间件技术的决策支持系统模型。
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