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1)  weighted support
加权支持度
1.
The attribute weight and weighted support of default regular are defined by using the conditional entropy and a mining algorithm of default regulars are given for inconsistent database.
针对不一致数据库,定义属性权重及缺省规则加权支持度概念,在此基础上给出一种缺省规则挖掘算法。
2.
Based on the weighted support of New-Apriori algorithm and combining the Fp-growth algorithm ideas,the weighted association rule algorithm is put forward based on Fp-tree.
在New-Apriori算法的加权支持度基础上结合Fp-growth算法思想,提出了基于Fp-树的加权关联规则算法,并给出了关联规则的个性化推荐的一般过程。
3.
At the same time the problem of invalidation of the "downward closure property" in the weighted setting was solved by using an improved model of weighted support measurements.
该算法同时改进了加权支持度计算方法,保持 Apriori算法的频繁集向下封闭的特性,并在实践中得到了有效的应用。
2)  ratio-weighted support
比例加权支持度
1.
In this paper, a new algorithm, weighted association pattern mining from weighted associated pattern tree is proposed, in which a new measure, ratio-weighted support, is developed.
本文引入了比例加权支持度的概念,提出了一种基于加权关联模式树的加权关联模式挖掘算法。
3)  weighted support vector machine
加权支持向量机
1.
Forecasting of the urban registered unemployment rate in Fujian province based on kernel principal component analysis and weighted support vector machine
基于核主成分与加权支持向量机的福建省城镇登记失业率预测
2.
The prediction model using the weighted support vector machine was proposed considering the factors which had relations with the global production indices.
以某选矿厂为实际背景,在分析了指标之间关系的基础上,采用加权支持向量机建立了相关指标的预报模型,并通过构造重要性函数的方法确定了支持向量机加权系数,最后利用该厂历史数据进行了仿真实验。
3.
So a new hybrid prediction model based on PCA and weighted support vector machine(WSVM) is proposed.
针对网络化制造资源配置受多因素影响,变化趋势复杂,难以用单一预测方法进行有效预测的问题,提出一种新的基于主成分分析和加权支持向量机的智能混合预测模型。
4)  weighted support vector machines
加权支持向量机
1.
Using the high generaliza-tion ability of support vector machines (SVMs) and the idea of locally weighted learning (LWL) algorithm, this paper proposes a novel learning algorithm named weighted support vector machines (W_ SVMs) which is suitable for local le.
本文利用支持向量机(SVMs)泛化能力强的特点,结合局部加权学习(LWL)算法思想,提出一种适于局部学习的加权支持向量机(W-SVMs)学习算法和基于这种算法的移动建模方法。
2.
To deal with the common unbalanced problem in ABC inventory classification,this paper analyzed the limitation of general support vector machines and proposed a method of muhicriteria classification of inventories based on weighted support vector machines(W-SVM),which introduced weight factor for each class to compensate the bias towards class with large size of samples by unbalanced training set.
针对 ABC 库存分类中存在的样本类别不平衡问题,提出了一种基于加权支持向量机的多准则库存分类方法,通过引入类权重因子来解决由于训练集中的类别差异引起的分类结果偏向多样本类的问题。
5)  minimum weighted support
最小加权支持
1.
Mining algorithm for weighted sequential pattern base on minimum weighted support;
基于最小加权支持的加权序列模式挖掘算法
6)  weighted average support heuristic
加权平均支持启发函数
1.
This paper proposes a new rough set-based heuristic function called weighted average support heuristic.
提出了一种新的基于粗糙集的启发函数叫做加权平均支持启发函数。
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