So, it is hoped that data mining models and mining modules can be integrated and reused in an open environment.
因此，人们期望能够在一个开放式环境下实现对数据挖掘模型和挖掘组件的集成和重用。
In the dynamic increment database, data mining models of consistent and inconsistent decision system are formulated.
在增量式动态数据库中，提出了相容性和不相容性决策系统的数据挖掘模型。
Asociation rules mining is one of the important data mining models, which has important theoretical and broad application prospects.
其中关联规则挖掘是数据挖掘的一个重要模式，具有重要的理论价值和广泛的应用前景。
These two models allow us more flexibility with our output and can be more powerful weapons in our data mining Arsenal.
这两个模型允许输出更为灵活，是数据挖掘领域的两个功能更为强大的武器。
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。
However, data mining is much more than simply regression, and you'll find some other models are better solutions with different data sets and different output goals.
然而，数据挖掘不仅局限于简单的回归，在不同的数据集及不同的输出要求的情况下，您会发现其他的模型也许是更好的解决方案。
Data mining strives to turn a lot of misinformation (in the form of scattered data) into useful information by creating models and rules.
数据挖掘就是通过创建模型和规则来将大量的不可用信息(通常是分散的数据形式)变成有用的信息。
Data and Text Mining - Build descriptive and predictive models and deploy results throughout the enterprise.
数据和文本挖掘-建立描述和预测模型，和基于整个企业的战略部署。
The mining structure defines the data domain from which mining models are built.
创建挖掘结构。挖掘结构定义据以生成挖掘模型的数据域。
Mining sequential patterns is one of the central content in data mining. There have been many models of sequential patterns and algorithms for mining sequential patterns.
挖掘序列模式是数据挖掘的主要内容之一，目前已有许多序列模式模型和相应的挖掘算法。
The models constructed by applying data mining algorithms improve a lot in some aspects, such as efficiency, accuracy, extensibility and adaptability.
应用数据挖掘算法得出的检测模型在检测效率、准确性、可扩展性和自适应性等方面都得到了很大的改进。
This framework is based on CIDF, and uses Data Mining to mine intrusion models, then automatically transforms it into intrusion detection rules for rule base's updating.
该系统基于公共入侵检测框架（CIDF）构建，当出现新攻击时，利用数据挖掘对海量数据进行挖掘，得出入侵模型后由系统自动转换为检测规则以实现规则库的自动更新。
The first step to creating mining models for a sales forecasting scenario is to use the Data mining Wizard to create a new mining structure.
为销售预测情况创建挖掘模型的第一步是使用数据挖掘向导创建新的挖掘结构。
This thesis describes a sales forecast model with automobile inventory data. The data mining process starts with the character of historical sale data, establishes and optimizes forecasting models.
本文针对汽车零部件销售量的预测开展了预测模型建模的研究，从销售历史数据特征研究入手，建立、选择并优化预测模型。
This research adopts techniques of data mining and artificial intelligence to build up analysis models from the historical data of stock market to assist investment decisions.
摘要：本研究利用资料探勘及人工智慧技术，借由股票市场已过的资料来建立分析模型，以协助投资决策。
The application of data mining classification techniques in credit scoring involves the process of building and selecting optimal models.
运用数据挖掘分类技术于信用评分问题包括一个建立模型以及选择最优模型的过程。
This thesis presents its application in spatial data mining and knowledge discovery, and focuses on the cloud models and their algorithms.
针对云理论在空间数据挖掘和知识发现中的应用，提出了基于半云和梯形云的空间距离概念的划分方法。
Knowledge discovery is to abstract the previously unknown and potentially useful models from a large amount of data, and data mining is an important component in the procedure of knowledge discovery.
知识发现就是从大量的数据中抽取以前未知并具有潜在可用的模式，数据挖掘则是组成知识发现过程的重要环节。
Aiming at the problems exists in the process of IDS (intrusion detection system) constructing, apply data mining technology to IDS to construct the models automatically.
针对传统入侵检测系统构造过程中存在的种种问题，将数据挖掘技术引人入侵检测系统，实现检测模型构造的自动化。
You can create Mining Models from relational or multidimensional (cube) data.
您可以用关系数据或多维(多维数据集)数据来创建挖掘模型。
We discuss how to use the models in Data mining to find the features of customer in banking.
本文探讨了怎样把数据挖掘中的模型应用到银行客户数据挖掘中，并刻画了建立这些模型的一般过程。
Firstly, we develop some new methods on the basis of graphical models, which has been widely used in data mining and multivariate analysis.
作为进行多变量数据分析的重要手段，“图模型”近年来得到了人们的广泛关注，并被应用于许多重要领域。
In chapter 4, a new data mining-based Adaptive Models Generation (AMG) is introduced. AMG is a real-time architecture for implementing data mining-based intrusion detection system.
第四章：介绍基于数据挖掘自适应模型生成(amg)，AMG是提供了一个基于数据挖掘的实时入侵检测结构。
In chapter 4, a new data mining-based Adaptive Models Generation (AMG) is introduced. AMG is a real-time architecture for implementing data mining-based intrusion detection system.
第四章：介绍基于数据挖掘自适应模型生成(amg)，AMG是提供了一个基于数据挖掘的实时入侵检测结构。
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