interestingness造句
例句与造句
- in other words, interestingness is domain specific
也就是说，有趣度是依赖于领域的。 - the comparative study on interestingness measures for mining association rules
关联规则兴趣度度量方法的比较研究 - this paper studies several interestingness and contingency table standardization to find a more robust algorithm instead of using support and confidence
通过对有趣度参数和列联表规整化的研究，进一步改进了对关联规则挖掘算法。 - an optimized algorithm for mining association rules in hydrological time series is proposed on the foundation of the analysis of variance ( anova ), contingency table test and the new definition of interestingness
摘要基于方差分析、列联表检验以及兴趣度的定义，提出一种挖掘水文时间序列关联规则优化算法。 - interestingness is one of important index for evaluation of rules, and a way for evaluation of subjective interestingness is introduced in this thesis to help users discovering more significant rules . 3
利用兴趣度对规则进行评价是发掘有意义规则的重要方式，文中从主观方面给出一种兴趣度评价方式以帮助用户发现更需要的规则。 - It's difficult to find interestingness in a sentence. 用interestingness造句挺难的
- interestingness is one of important index for evaluation of rules, and a way for evaluation of subjective interestingness is introduced in this thesis to help users discovering more significant rules . 3
利用兴趣度对规则进行评价是发掘有意义规则的重要方式，文中从主观方面给出一种兴趣度评价方式以帮助用户发现更需要的规则。 - it is recommended to choose customer subdivision algorithm according to data character and user intention . lastly an algorithm of measuring interestingness of data mining schema based on user expectation and fuzzy logic is presented
文章对部分应用于crm的数据挖掘算法进行了深入研究，提出根据数据特征和细分目的选择算法，并给出了用于不同标准的客户细分聚类算法。 - first, we design the fitness function which can evaluate the interestingness of a rule by using attribute's information gain and by setting the weight of the information gain . it is different to other methods in that it combine the subjective and objective interestingness-measure methods together other than separate them
首先，通过使用属性信息增益和设置属性信息增益权值来构造度量分类规则有趣度的适应度函数，改进了以往算法中对于规则的有趣度的主、客观评测方法相分离的做法，使得对分类规则有趣度的评价实现了主、客观评测方法的统一。 - first, we design the fitness function which can evaluate the interestingness of a rule by using attribute's information gain and by setting the weight of the information gain . it is different to other methods in that it combine the subjective and objective interestingness-measure methods together other than separate them
首先，通过使用属性信息增益和设置属性信息增益权值来构造度量分类规则有趣度的适应度函数，改进了以往算法中对于规则的有趣度的主、客观评测方法相分离的做法，使得对分类规则有趣度的评价实现了主、客观评测方法的统一。 - secondly, from the angle of objective interestingness this paper analyzes the information managers are interested in and proposes the three indexes : coverage, completeness and confidence . at the same time, three measures of rule interestingness and information facticity are put forward . from the angle of subjective interestingness this paper analyzes the information managers are interested in respectively, meanwhile proposes the evaluation index system of the information different hierarchies management need
其次，从客观感兴趣度的角度对管理者所关心的信息进行了分析，引入了信息的覆盖度、完全性和可信度三个指标，管理者对信息规则感兴趣性(ri)度量的三个准则，并提出了对信息的真实性指标进行分析的必要性；从主观感兴趣度的角度分别对高层、中层、基层管理者所关心的信息类别进行了分析，从意外性和实用性两个角度分别提出了硬信念、软信念和信息的相关性、可利用性和实效性指标；并提出了管理者所需信息分析的评价指标体系。 - secondly, from the angle of objective interestingness this paper analyzes the information managers are interested in and proposes the three indexes : coverage, completeness and confidence . at the same time, three measures of rule interestingness and information facticity are put forward . from the angle of subjective interestingness this paper analyzes the information managers are interested in respectively, meanwhile proposes the evaluation index system of the information different hierarchies management need
其次，从客观感兴趣度的角度对管理者所关心的信息进行了分析，引入了信息的覆盖度、完全性和可信度三个指标，管理者对信息规则感兴趣性(ri)度量的三个准则，并提出了对信息的真实性指标进行分析的必要性；从主观感兴趣度的角度分别对高层、中层、基层管理者所关心的信息类别进行了分析，从意外性和实用性两个角度分别提出了硬信念、软信念和信息的相关性、可利用性和实效性指标；并提出了管理者所需信息分析的评价指标体系。 - secondly, from the angle of objective interestingness this paper analyzes the information managers are interested in and proposes the three indexes : coverage, completeness and confidence . at the same time, three measures of rule interestingness and information facticity are put forward . from the angle of subjective interestingness this paper analyzes the information managers are interested in respectively, meanwhile proposes the evaluation index system of the information different hierarchies management need
其次，从客观感兴趣度的角度对管理者所关心的信息进行了分析，引入了信息的覆盖度、完全性和可信度三个指标，管理者对信息规则感兴趣性(ri)度量的三个准则，并提出了对信息的真实性指标进行分析的必要性；从主观感兴趣度的角度分别对高层、中层、基层管理者所关心的信息类别进行了分析，从意外性和实用性两个角度分别提出了硬信念、软信念和信息的相关性、可利用性和实效性指标；并提出了管理者所需信息分析的评价指标体系。 - then statistic correlation concept was introduced and based on which the rule interestingness measure was defined what we are interested in during the mining is those rules with strong item correlation . so the interesting measure introduced in this paper severed as a constraint for those independent or negative correlation rules . with it associated with the support and the confidence we can find only interesting or useful rules from data sets
而我们的目的就是找出有益于决策的用户感兴趣的规则，所以对于关联规则挖掘中许多规则是无趣甚至是误导的情况，文中首先对其作了分析，针对项目集中可能出现的项目间的独立和负相关情况，文中引入了概率论的统计相关概念，并在它的基础上定义了有趣度量ri，把有趣度结合到支持?信任框架的关联规则挖掘中。 - this dissertation proposes the c-dma ( center-distributed mining association rules ) algorithm in star structure, and a method of mining multiple layers association rules in distributed databases, a method of mining multiple layers association rules using meta-learning and adjustable method in distributed databases, based on analyses and introduction of the basic concepts and algorithms of mining association rules and mining association rules in distributed databases . after analyzing the quantitative association rules and interestingness of association rules which are encountered often in distributed association rule mining, the dissertation proposes the methods of changing the quantitative attributions into bool attributions using fcm and gene algorithm
本文在分析和介绍了关联规则挖掘的基本概念和方法以及分布式关联规则挖掘方法和技术基础上，提出了中心结点结构的分布式关联规则挖掘的算法(c-dma)，分布式多层概念的关联规则挖掘算法，以及分布式元学习可变精度关联规则的挖掘算法；并且，在分析和研究了分布式关联规则挖掘中常见的数量型关联规则、关联规则的兴趣度问题的基础上提出了数量关联规则的聚类划分方法以及兴趣度过滤方法。
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