data classification
英 [ˈdeɪtə ˌklæsɪfɪˈkeɪʃn]
美 [ˈdeɪtə ˌklæsɪfɪˈkeɪʃn]
网络 数据分类; 数据分级; 资料分类; 数据归类; 分类法
双语例句
- 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）。 - The data classification may help facilitate how to assess the domain.
数据分类可以帮助简化域的评估。 - 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.
提出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。 - Apart from the new classification strategy proposed in this paper, imbalanced data classification issue is also taken into consideration, which has not received sufficient attention in previous work.
同时研究了以往同类工作中所忽视的不平衡样本分类问题。 - Application of Association Rules for Medical Data Classification
关联规则挖掘算法在分类中的应用研究 - 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。 - A new method of data classification in chemical process, Sequential Rules, is proposed, which provides a theoretic fundament of designing measured situation correctly.
提出对化工过程数据进行分类的新方法&有序规则法，为正确设计测量点的位置提供了理论依据； - A Method of Multi-Relational Data Classification of Continuous Attributes
一种连续属性的多关系数据分类算法 - Sample data classification is a commonly used tool in medical research.
样本数据分类是医学研究中常见的工具。 - Hyperspectral RS Data Classification Based on SVM and Multivariate Analysis
基于支持向量机和多变量分析的高光谱遥感数据分类 - Instance Importance Based SVM for Solving Imbalanced Data Classification
基于实例重要性的SVM解不平衡数据分类 - At last, some principled problems about the practical application of the methods to remote sensing data classification are discussed.
最后讨论了有关上述方法在遥感数据分类处理中实际应用的一些原则性问题。 - Pochet, N., et al. "Systematic benchmarking of microarray data classification: assessing the role of nonlinearity and dimensionality reduction." Bioinformatics, 2004.
基因芯片数据分类的系统基准：评估非线性和维度的缩减〉。《生物信息学》，2004年。 - Hybrid-kernel SOM neural network and its application in remote-sensing image data classification
基于混合核函数的自组织神经网络遥感图像分类 - Study on the multi-feature remote sensing data classification based on ACO rule mining algorithm
基于蚁群规则挖掘算法的多特征遥感数据分类 - The architecture provides convenient data classification, completed policy management, automatic data migration and transparent access to the migrated data to clients and application.
该系统提供数据分类、策略定制管理、数据自动迁移以及客户端和应用对数据的完全透明访问。 - Research and Simulation of Spatial Data Classification Using Hierarchical Clustering
层次聚类算法在空间数据分类上的研究及仿真 - 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。 - It achieved the data classification by performing co-evolution of rules and rule sets.
这种计算模式使用规则与规则集共同演变的模式，实现了数据挖掘技术中的分类。 - Afterwards, the author proposed the concrete scheme of data classification& coding and metadata, taking the ecological environmental data of Yunnan boundary region as an example.
随后，笔者以云南边境地带生态环境数据为例，提出了生态环境数据分类编码与元数据方案。 - To carve a data classification of folk art varieties.
以雕刻资料分类的民间美术品种。 - 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。 - Some initial investigations are conducted to employ DNA computing for hyperspectral remote sensing data classification.
提出了一种基于DNA计算的高光谱遥感数据光谱匹配分类新方法。 - A novel data classification algorithm based on matrix projection is presented.
提出了一种数据分类的两步矩阵投影算法。 - Research and Application of A Product Cost Estimating System Based on Data Classification and Predication
一种基于分类和预测技术的产品成本估算系统研究与应用 - The application of radial basic function ( RBF) neural network in the data classification is studied.
对径向基函数（RBF）神经网络在数据分类中的应用进行了研究。 - This article explains the realization of BP Neural Networks and the application in data classification.
本文介绍了BP神经网络的实现以及其在数据挖掘分类方面的应用。 - Then we introduced a method of data classification based on extension sets, called extension classification.
然后，介绍了在可拓集合理论基础上建立的数据分类的可拓分类方法。 - 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。 - According to the characteristic of key operation, the data mining module implements association and anomaly analysis in the analyzers after data cleaning and data classification, and improves the self-adaptability of system by pattern mining and knowledge updating.
数据挖掘模块根据关键业务特点，对数据进行清理和分类后，在系统的分析器中实现了关联和异常分析，通过模式挖掘和知识更新，提高了监控系统中规则的自适应性。