The main idea is to apply data mining methods to learn rules that can capture normal and intrusion activities from pre-processed audit data that contain network connection information.
这种方法的主要思想是利用数据挖掘方法，从经预处理的包含网络连接信息的审计数据中提取能够区分正常和入侵的规则。
This paper places great emphasis on the study of the spatial data mining methods and their integration with GIS.
本文重点对空间数据挖掘算法及其与GIS的集成进行了研究。
There are two types of data mining methods integration, they are horizontal integration and vertical integration.
其中数据挖掘方法的集成有水平集成和垂直集成两种类型。
The data mining methods possibly applicable to different topics in the fault detection and diagnosis of LRE are compared.
对在液体火箭发动机故障检测和诊断的不同问题中可能应用的数据挖掘方法进行了分析比较。
Clustering algorithm is an important one in data mining methods.
聚类算法是数据挖掘算法中的重要解决方法。
In the correlative research field, e. g., fraud detection, and fault management, data mining methods have made considerable success.
在许多相关的领域，如欺诈检测和故障管理中，数据挖掘已经取得了成功的应用。
KDD and data mining was used in agriculture, but for the characteristics of agriculture area, normal data mining methods can't apply efficiently.
KDD和数据挖掘技术在农业中得到应用，由于农业领域本身的特点，通常的数据挖掘技术得不到有效应用。
PX absorption and separation process is studied and analyzed using data mining methods based on SOM model, and the SOM model plays a key role in the whole data mining process.
以PX吸附分离过程为研究对象，运用基于SOM模型的数据挖掘算法对其进行分析研究。SOM模型在整个挖掘过程中起了关键性的作用。
Classification and clustering are both commonly used data mining methods. The advantage of classification is that the accuracy is higher, but the labeled training set is needed.
分类和聚类都是常用的数据挖掘方法，分类的优点是准确率较高，但需要带有类别标注的训练集；
Several major kinds of data mining methods, including characterization, classification, association rule, clustering, outlier detection, pattern matching, data visualization, and so on.
常用的数据挖掘方法包括描述、分类、关联规则、聚类、孤立点检测、模式匹配、数据可视化等。
Use data mining methods to analyze the audit data and provide anomaly detection based on the generated normal patterns, this method can improve the performance of intrusion detection system.
利用数据挖掘技术对审计数据加以分析，总结出一些正常模式，用来进行异常检测，将有助于提高入侵检测系统的检测准确性和完备性。
Decision tree is one of the important Categorising Data Mining methods.
决策树是分类数据挖掘的重要方法。
Data mining methods aim to abstract some useful knowledge for a mass of data, and open out the objective rules behind these data.
数据挖掘技术旨在从大量的数据中提炼出抽象的知识，揭示出蕴含在这些数据背后的客观规律，实现知识的自动获取。
Data mining methods aim to abstract some useful knowledge for a mass of data, and open out the objective rules behind these data.
数据挖掘技术旨在从大量的数据中提炼出抽象的知识，揭示出蕴含在这些数据背后的客观规律，实现知识的自动获取。
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