1)attribute discretization属性离散化
1.A new method is proposed when attribute discretization.在属性离散化时,提出用常用的隶属度函数来拟合FCM聚类后的结果,并用此函数和参数来实现属性数据的离散化,避免了每次输入数据都必须通过聚类操作来进行离散化;采用了粗糙集理论建立推理规则,选择和交通事件密切相关属性并进行规则的约简,加速了模糊推理的速度;最后采用Max-Min模糊推理方法对交通事件进行检测。
英文短句/例句
1.One method of new attribute reduction based on discretization of continuous attributes一种新的基于连续属性离散化的属性约简方法
2.Treatment Method after Discretization of Continuous Attributes Based on Attributes Importance and Samples Entropy基于属性重要性和样本信息熵的多连续属性离散化后处理方法
3.Research on Discretization of Continuous Features Based on Rough Set Theory;基于粗糙集理论的连续值属性离散化方法研究
4.Discretization method of taxpayer s continuous attribute based on rough set and cluster analysis;基于粗糙集和聚类的纳税属性离散化方法
5.Discretization of Continuous Attributes in Decision Table Based on Conditional Information Quantity;基于条件信息量的决策表连续属性离散化算法
6.A Method to Discretization for Successive Attribute of Rough Set Theory;粗糙集理论的连续属性离散化的一种方法
7.A New Algorithm for the Discretization of Continuous Attributes based on Rough Set一种新的基于粗糙集的连续属性离散化算法
8.Design of Auto Text Categorization Classifier Based on Boosting Algorithm文本分类中连续属性离散化方法的研究
9.Novel attribute discretization algorithm based on nearest neighbor-clustering新的基于最近邻聚类的属性离散化算法
10.A Modified Discretization Algorithm of Numerical Attributes Based on Greedy Strategy基于贪心思想的数值属性离散化算法的改进
11.Method of discretization of continuous attributes based on rough set and Particle Swarm Optimization粗糙集与粒子群算法结合的属性离散化方法
12.A method of discretization of continuous attributes in rough sets based on conditional entropy一种基于条件熵的粗糙集连续属性离散化方法
13.An Improved Algorithm for Multi Continuous Attributes Discretization Based on Information Gain基于信息增益的多连续属性离散化算法改进
14.Method of continuous attribute discretization based on term presence and information gain基于词出现和信息增益的连续属性离散化方法
15.VPRS Based Approaches for Discretization of Continuous Attributes and Data Preprocessing;基于变精度粗糙集的连续属性离散化方法及数据预处理方法
16.Research on Continuous Attributes Discretization and Rules Extracting Basesd Rough Set;基于粗集理论的连续属性离散化及规则提取技术研究
17.Discretization of Continuous Properties Based on Discernibility Matrix in Data Mining;数据挖掘中基于可辨识矩阵的连续属性离散化方法
18.Research on Discretization Technology and Its Application on Intrusion Detection连续属性离散化方法的研究及其在入侵检测中的应用
相关短句/例句
data discretization属性离散化
3)Discretization[英][dis,kri:ti'zei??n][美][d?,skrit?'ze??n]属性离散化
1.This article discards the discretization concept using cut sets, a global discretization algorithm is proposed in this paper based on rough set and hierarchical method.本算法在层次聚类的基础上考虑不同连续属性离散化结果间的互补性和相关性,在不改变原信息系统不可分辨关系的前提下通过增类减类进行全局离散化。
4)discretization of continuous attributes连续属性离散化
1.An algorithm of discretization of continuous attributes in rough sets based on cluster;文中针对这一缺陷 ,利用连续数值属性有序性的性质和统计方差理论 ,提出了一种基于聚类的连续属性离散化算法。
5)discretization of real value attributes连续属性离散化
1.Bayesian-Chi2 algorithm for discretization of real value attributes;连续属性离散化的Bayesian-Chi2算法
2.This paper discusses Chi2 algorithm,and proposes a new Integral Chi2 algorithm for discretization of real value attributes.连续属性离散化在机器学习和数据挖掘领域中有着重要的作用。
6)quantitative attribute discretization数量属性离散化
延伸阅读
离散时间周期序列的离散傅里叶级数表示 (1) 式中χ((n))N为一离散时间周期序列，其周期为N点，即 式中r为任意整数。X((k))N为频域周期序列，其周期亦为N点，即X(k)=X(k+lN)，式中l为任意整数。 从式(1)可导出已知X((k))N求χ((n))N的关系 (2) 式(1)和式(2)称为离散傅里叶级数对。 当离散时间周期序列整体向左移位m时,移位后的序列为χ((n+m))N，如果χ((n))N的离散傅里叶级数(DFS)表示为,则χ((n+m))N的DFS表示为
