Amendment 1 - standard data element types with associated classification scheme for electric components - part 1 : definitions - principles and methods 电子元器件标准数据元素类型和相关分类模式.第1部分:定义.原则和方法.修改件1
Different to the previous editions , the 2005 edition contains basic categories as well as new categories of higher education institutions 与以往相比, 2005年卡内基高等学校分类法作了重大调整,既包括与以往类似的基本分类,又包括新增的五种新的分类模式。
Standard data element types with associated classification sheme for electric components - part 4 : iec reference collection of standard data element types and component classes 电子元器件标准数据元素类型和相关分类模式.第4部分: iec标准数据元素类型和元器件分类的基准集
Standard data element types with associated classification scheme for electric components - part 4 : iec reference collection of standard data element types and component classes 电子元器件标准数据元素类型和相关分类模式.第4部分: iec标准数据元素类型和元器件分类的基准集
Standard data element types with associated classification scheme for electric components - part 4 : iec reference collection of standard data element types , component classes and terms 电气元器件的标准数据元素类型和相关分类模式第4部分: iec标准数据元素类型元器件类别和项的基准集
From the fact of real estate , the paper analyzes the category pattern of the factors in ie of real estate , and concluded with commonly systematic graphic of ie of red estate 从房地产业的实际出发,分析了房地产业投资环境要素的分类模式,并提出带有通用性的房地产业投资环境系统图。
Following the model of typology of intertextuality proposed by hatim & mason , we identify five types of " manifest " intertextuality and four types of " constitutive " intertextuality in the collected data 根据hatim & mason提出的互文性分类模式,我们在收集的材料中辨别出五类“显性”互文性和四类“构成性”互文性。
The properties window displays a property with parentheses around its name near the top of the list in alphabetical mode , or near the top of its category if the properties window is in categorize mode “属性”窗口将名称中带有括号的属性以字母顺序模式显示在列表顶部附近,如果“属性”窗口处于分类模式,则显示在其类别顶部附近。
Second , the thesis introduces the theory and the key techniques which are word segmentation 、 features extraction 、 text clustering and text classification , specially the extraction of clustering guided classification model based on svm 其次,对分词、特征提取、文本聚类、分类等理论知识和关键技术作了介绍,特别是有聚类指导的基于svm的分类模式的提取。
There are many techniques for data classification such as decision tree induction , bayesian classification and bayesian belief networks , association - based classification , genetic algorithms , rough sets , and k - nearest neighbor classifiers 挖掘分类模式的方法有多种,如决策树方法、贝叶斯网络、遗传算法、基于关联的分类方法、粗糙集和k -最临近方法等等。