1) 1-k-Apriori algorithm
1-k-Apriori算法
1.
The Apriori algorithm and the 1-k-Apriori algorithm are analyzed.
通过对Apriori和1-k-Apriori两种算法进行细致分析和深入研究,结合这两种算法的优点,提出了I1-k-Apriori算法。
2) Apriori algorithm
Apriori算法
1.
Typical operation sequence capture based on Apriori algorithm;
基于Apriori算法的典型工序序列获取方法
2.
Application of Apriori algorithm to selection of Chinese fir′s associated tree species;
Apriori算法在杉木伴生树种选择中的应用
3.
Application of Apriori algorithm in government ontology construction;
Apriori算法在政务本体构造中的应用
3) Apriori
[英]['eiprai'ɔ:rai] [美][,ɑpri'ɔri, -'ori, ,epraɪ'ɔraɪ, -'or,aɪ]
Apriori算法
1.
Efficiently improved Apriori algorithm based on data warehouse and job;
基于数据仓库和作业的高效改进Apriori算法
2.
Review of the optimization and analysis of Apriori algorithm;
Apriori算法分析与改进综述
3.
In order to obtain the connotative value of mass data in the actual Enterprise Resource Planning(ERP) system,adopting association rules mining method,the integrity process of constructing products sale data mart and mining rules by Apriori algorithm is given.
为了挖掘现行企业资源计划(Enterprise Resource Planning,ERP)中海量数据的价值,运用关联规则数据挖掘技术,给出了构造产品销售数据集市以及运用Apriori算法进行挖掘处理的完整过程,为企业优化销售行为模式提供依据。
4) algorithm similar to the Apriori
类Apriori算法
1.
The presented algorithm is in fact supplements the algorithm similar to the Apriori.
文章提出了一种基于交集关系原理的算法叫做交集算法,它与类Apriori算法本质上互补。
5) algorithm New-apriori
New-Apriori算法
1.
To solve the problem on algorithm New-Apriori,a new algorithm called MWFS algorithm for mining weighted frequent itemsets was proposed.
针对New-Apriori算法的不足之处,提出了一种新的挖掘加权频繁项集的算法——MWFS算法,该算法能有效挖掘出含有权重较大项目的加权频繁项集,其挖掘结果更具有价值。
6) Apriori arithmetic
Apriori算法
1.
The Discourse and Application about Association and Apriori Arithmetic;
关联规则Apriori算法实际应用解析
2.
The improved association rules Apriori arithmetic is given in this paper,which can enhance the capability of auxiliary analysis after fault.
提出改进的关联规则Apriori算法对调度中心的数据进行分析处理,提高事后辅助分析决策能力。
3.
The article expounds the result of analyzing inner associated relation of course knowledge points based on Apriori arithmetic.
本文阐述了利用关联规则Apriori算法有效分析网上智能答疑系统中课程知识点内部关联关系。
补充资料：[3-(aminosulfonyl)-4-chloro-N-(2.3-dihydro-2-methyl-1H-indol-1-yl)benzamide]
分子式：C16H16ClN3O3S
分子量：365.5
CAS号：26807-65-8
性质：暂无
制备方法：暂无
用途：用于轻、中度原发性高血压。
分子量：365.5
CAS号：26807-65-8
性质：暂无
制备方法：暂无
用途：用于轻、中度原发性高血压。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条