分类数据 meaning in Chinese
categorical data
cla ified data
classified data
cluster data
grouped data
Examples
- It includes image collection , image processing , self - study , serial communications , data management and long - distance controlling . at the same time , the paper designs dynamic web database by utilizing network technology . the methods of image processing includes filtering , sharp , etc . the self - study system realizes the design of classifying model of glass - shell by interactive method
本文使用面向对象的vc + +语言，采用模块化设计方法开发了包括图像采集模块、图像处理模块、自学习系统模块、分类数据通信、数据管理及远程选型控制模块的软件系统，并利用网络技术建立了动态网页数据库，使分类数据信息在企业局域网上得以发布。 - Face continuously worse competition of society , each enterprise continuously probe how to sell more products . with the data of the enterprise doubly adding , and the way of data processing changing from transaction processing into analytical processing which can support enterprise decision , the database management system that play a great role in the enterprise in the past can n ' t meet the modem enterprise of basic demand to data processing . therefore , we must find ways to automatically analyze the data , to automatically classify it , to automatically summarize it , to automatically discover and charaterize trends in it , and to automatically flag anomalies . so we begin to study and apply the data warehouse technique , multidimension analyse technique and data mining technique
面对不断加剧的社会竞争，各个企业都在不断探索增加产品销量的道路。原来在企业中起过很大作用的数据库管理系统，随着各企业数据量的成倍增加，以及企业对数据处理的要求从原来的事务处理到分析处理，以实现对企业的决策支持的改变，已不再可能满足现代企业对数据处理基本需求，因此我们不得不去寻找一种自动分析数据、自动分类数据和自动汇总数据的方法，以便从这些大量数据中自动发现和描述这些数据的趋势和标定那些异常事务。 - These technologies include the procedure of classification and the preprocessing of classification data and compared and evaluated criterion of classification methods . several of typical classification algorithms are compared which are decision - tree and k - nearest neighbor and neural network algorithm . then the emphasis of the paper is induced that divide the classification to eager and lazy and the research of classification algorithm in data mining is based on this divide
讨论了数据挖掘中分类的基本技术，包括数据分类的过程，分类数据所需的数据预处理技术，以及分类方法的比较和评估标准；比较了几种典型的分类算法，包括决策树、 k -最近邻分类、神经网络算法；接着，引出本文的研究重点，即将分类算法划分为急切分类和懒散分类，并基于这种划分展开对数据挖掘分类算法的研究。