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1)  tuple ID propagation
元组ID传播
1.
By taking advantage of tuple ID propagation approach,this algorithm could directly mine frequent pattern in multi-relation without physical join.
该算法利用元组ID传播的思想,使多表间无须物理连接,就可以直接挖掘频繁模式。
2.
The concept of oriented graphic used to dynamic choice most superior key table,and a tuple ID propagation approach is used to solve directly the association rule mining problem with multiple database relations,and the concept of user\'s guidance is introduced.
本文提出了一种基于用户指导的多关系关联规则挖掘算法,借鉴有向图的概念动态的选择最优关键表,并利用元组ID传播的思想使多表间无需物理连接而能直接进行关联规则挖掘,同时引入用户指导的概念,提高了用户的满意程度及海量数据挖掘的效率和精确度。
3.
IMRDTL algorithm makes use of the tuple ID propagation for speeding up the efficiency of MRDTL-2 algorithm, meanwhile, generalized naive Bayes classifier is used to fill in missing attribute values, so the algorithm can provide a better accuracy.
在IMRDTL算法中,利用元组ID传播技术来进一步提高MRDTL-2算法的运行效率,同时使用广义朴素贝叶斯分类器来填补丢失的属性值,以进一步提高算法的准确率。
2)  tuple ID propagation
元组ID传输
3)  ID propagation
ID传播
1.
The virtual join based on tuple ID propagation can reduce storage space and increase the efficiency of multi-relational data mining.
基于元组ID传播的虚拟连接可能缩小了存储空间,并提高了多关系数据挖掘的效率。
4)  tuple ID propagation
元组标识传播
5)  tuple ID propogation
元组标志传播
6)  Group ID
组ID
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。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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