1) Multiple Minimum Supports
多最小支持度
1.
Improved Algorithm for Mining Association Rules with Multiple Minimum Supports Using Maximum Constraints;
改进的最大值约束的多最小支持度挖掘算法
2.
Mining Association Rules with Multiple Minimum Supports Using Maximum Constraints
最大值约束下的多最小支持度关联规则挖掘
3.
As a new research field of association rules mining, mining association rules with multiple minimum supports is regarded as an important research for mining associati.
多最小支持度关联规则挖掘作为一个新的研究课题,用于发现稀有项之间的关联规则,正逐步受到人们的重视。
2) Multiple Minimum Support
多最小支持度
1.
Researches and Applications on Association Rules Mining with Multiple Minimum Supports;
多最小支持度关联规则挖掘的研究与应用
2.
According to characteristics of the retail data,we propose MSApriori algorithm and the CFP-growth algorithm based on the multiple minimum support,use VC++ to verify,analyz and compare the algorithms’performance , the experiments showed that CFP-growth algorithm has stable performance,and it can effectively control the mining time, in the
针对零售数据的特点我们提出了基于多最小支持度的MSApriori算法和CFP-growth算法,采用VC++对上述算法的性能进行验证分析和比较,实验显示CFP-growth算法的性能稳定,而且能够有效的控制算法挖掘的时间,在实际挖掘过程中,取得了很好的挖掘效果。
3) minimum support
最小支持度
1.
An algorithm for mining association rules with multiple minimum supports;
一种多重最小支持度关联规则挖掘算法
2.
An algorithm to mine maximum frequent itemsets updating(MFIU) is put forward based on changeable minimum support.
提出了一种基于最小支持度变化的挖掘最大频繁项集的增量式更新算法MFIU(Maximum Frequent Itemsets Updating)。
3.
In terms of the incremental updating problem when minimum support changes in association rules mining,this paper presents an incremental updating algorithm capable of efficiently finding maximum itemsets based on FP-tree for mining association rules while modifying support.
发现最大频繁项目集是关联规则挖掘的重要步骤,针对关联规则挖掘中最小支持度发生变化的增量式更新问题,提出了高效发现最大频繁项目集的更新算法。
5) minimum supports
最小支持度
1.
Association rules and an approach of mining with multiple minimum supports;
多最小支持度下的关联规则及其挖掘方法研究
2.
In this paper, by virtue of the inherent characters an approach of mining association rules with multiple minimum supports stratagem is.
国内现有的关联规则挖掘算法大多是在最小支持度的限定条件下 ,发现挖掘数据的各属性间的所有关联型知识 。
6) minimum support threshold function
最小支持度函数
1.
We address this dilemma by introducing a gradual minimum support threshold function.
针对这样一个问题,提出了渐增最小支持度函数作为误差参数。
补充资料：最小辐亮度与最小辐照度(见核爆炸火球)
最小辐亮度与最小辐照度(见核爆炸火球)
minimum-brightness and minimum-irradiance
zuixiao fuliangdu yu zuixiaofu乙haodu最小辐亮度与最小辐照度(minimum-brightness and而nimum一irradianee)见核爆炸火球。
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