Table 2: Domain Analysis by data classification
表2: 基于数据分类的域分析
ICM RME provides services to applications that need to understand text or correlate between text and certain objects (for example, personalization or general data classification applications).
ICMRME提供的服务使应用程序能够理解文本或文本和特定对象之间的关系(例如，个性化或一般数据分类应用程序)。
Finally, we present a fast data classification algorithm based on sampling.
最后，我们提出了一种基于抽样的快速数据分类算法。
Spatial data mining is a promising field, where the research work on spatial data classification is still in its initial stage.
空间数据采掘是一个很有发展前景的领域，其中空间数据分类的研究尚处在起步阶段。
The method of data classification influences the efficiency of classification.
数据分类的方法直接影响着分类效果。
This is a very good network of BP procedures for the two types of data classification.
这是一个很好的关于BP神经网络的程序，用于两类数据的分类。
The application of radial basic function neural network in the data classification is studied.
对径向基函数神经网络在数据分类中的应用进行了研究。
In the process of mining, data classification is an important content in the research of data mining.
在挖掘过程中，数据分类是数据挖掘研究的一个重要的内容。
Mutual information network is a feature selection and data classification method based on information theory.
互信息网络是一种基于信息理论的特征选择和数据分类方法。
The property errors are mainly from errors of topology analysis, data classification, document data and artificial translation.
属性误差主要来源于拓扑分析误差、数据分类误差、文本文件数据的误差和人工解译误差。
It also discusses some techniques of data mining such as mining association rules, mining sequential patterns and data classification.
对常用于入侵检测系统中的数据挖掘技术如关联规则，序列分析，分类分析等进行了分析。
A method of visual data classifying is improved by integrating visual technology of parallel coordinates with data classification algorithms.
提出平行坐标数据可视化技术与分类算法集成到一起进行可视化数据分类的方法。
The experiments show that data classification using this method is simpler in the structure, and can improve the efficiency of classification.
实验证明，用该方法实现的数据分类复杂性低，且能有效提高分类效果。
As a new computational intelligence method, the Artificial Immune Network (AIN) is widely applied to pattern recognition and data classification.
作为一种新的智能计算方法，人工免疫网络已被广泛的应用到模式识别以及数据分类中。
A data classification algorithm on multiple manifolds is presented. The algorithm roughly divides into two steps: learning process and testing process.
提出了一种基于多流形的数据分类算法，算法大致分为两步：学习过程和测试过程。
Finally, a prototype system to solve the TSP and data classification was developed, and accordingly the performance of improved algorithm was evaluated.
最后，本文实现了蚁群算法解决TSP问题和数据分类的原型系统，并以此为基础对改进算法进行了性能测试。
The second chapter contributes to the detailed description of data classification, in which the shipping information fall into two categories: static information and dynamic information.
第二章比较详细地描述了船舶航海信息的分类情况。航海信息主要有两种分类：静态信息和动态信息。
Aimed at SAR image interpretation, SVM shows good performance in image filtering, image segmentation, target discrimination and classification, as well as polarimetric SAR data classification.
针对SAR图像解译，SVM在图像滤波、图像分割、目标识别与分类、极化数据分类等过程中有很好的处理能力。
The result of simulative experiment for power transformers fault diagnosis shows that the method can overcome the before-mentioned shortcomings and improve the accuracy of data classification.
电力变压器故障诊断的仿真实验结果表明，利用该分类方法可以提高数据分类的精确性。
Selective ensemble classifiers can improve classification accuracy rate of data set. But for a specific data classification, the classifiers contained by ensemble can not be the best combination.
选择性集成分类算法虽能提高集合分类器在整体数据集上的分类性能，但针对某一具体数据进行分类时，其选择出的个体分类器集合并不一定是最优组合。
Based on the spectral feature neighborhood, this paper proposes a tolerant rough set classification method to handle the uncertainty in the process of satellite remote sensing data classification.
结合粗糙集理论和遥感数据中地物光谱特征空间分布信息，提出了一种基于光谱特征邻域的容差粗糙集分类方法，用来处理卫星遥感数据分类中的不确定性问题。
Data classification is one of important contents from Data mining.
数据分类是数据挖掘中一个重要的内容。
Data classification and prediction are important mining technologies and have been used widely.
数据分类与预测作为一种重要的挖掘技术有着广泛的应用。
Data classification is an important task of data mining, and developing high-powered classification algorithm is one of the key problems for data mining.
数据分类是数据挖掘中的一个重要课题，研究各种高效的分类算法是数据挖掘的重要问题之一。
Data classification is an important branch in Data Mining. With the fast developments of Information Technology and Internet, traditional classification methods cannot meet people's need.
数据分类一直是数据挖掘领域中的一个重要分支，随着信息技术和互联网的飞速发展，传统的方法已经不能满足人们的需要。
Data classification is an important branch in Data Mining. With the fast developments of Information Technology and Internet, traditional classification methods cannot meet people's need.
数据分类一直是数据挖掘领域中的一个重要分支，随着信息技术和互联网的飞速发展，传统的方法已经不能满足人们的需要。
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