1) dynamic association rule
动态关联规则
1.
Research of mining meta-association rules for dynamic association rule based on model of Grey-Markov;
基于灰色Markov模型动态关联规则的元规则挖掘
2.
In fact,it is possible that a rule will change greatly with time,this paper introduces a rule called dynamic association rule and the definition of the meta-association rules for dynamic association rule,focuses on introducing the method which by the model of time series to mine the meta-association rules for dynamic association rule,and proves that this method is fit on the historical data.
针对现有关联规则挖掘算法大多是挖掘一种静态关联规则的情况,介绍动态关联规则的定义,给出动态关联规则元规则的形式化定义,解决规则随时间的推移可能会有很大变化的情况下为规则建立元规则的问题,描述一种基于时间序列模型的预测和分析动态关联规则的元规则的方法,从而较好地拟合历史数据,给出满足一定显著性水平预测趋势模型的方程,挖掘规则的变化趋势,为规则建立元规则。
2) Incremental mining Association Rules
关联规则动态更新
3) dynamic fuzzy association rule
动态模糊关联规则
1.
In this paper,based on theories of DFS and DFL,the definitions of dynamic fuzzy association rules are presented for dynamic fuzzy data,a mining algorithm for dynamic fuzzy association data is proposed.
针对动态模糊关联数据,运用DFS和DFL的理论提出了动态模糊关联规则的定义,并在此基础上进一步给出了面向动态模糊关联数据的一种数据挖掘算法;最后通过实例分析,表明该算法能够有效发现数据间的动态模糊关联模式。
4) temporal association rule
时态关联规则
1.
Approximate temporal association rule mining in automated negotiation;
自动协商中的近似时态关联规则挖掘
2.
A new algorithm T-Apriori based on time constraint is designed and implemented on the basis of analyzing the related definitions and general steps of temporal association rule mining.
本文分析了时态关联规则挖掘的相关定义,介绍了强时态关联规则挖掘的步骤,设计并实现了基于时间约束的T-Apriori算法。
3.
We give (he algorithm to discover the longest frequent items with temporal constraint and generate temporal association rule in terms of them, which imply the t.
最后,给出了在时态数据库中挖掘具有时态约束的最大频繁项集,并在此频繁项集生成时态关联规则的算法。
5) temporal association rules
时态关联规则
1.
Research on temporal association rules and its application;
时态关联规则研究与应用
2.
A data mining algorithm of multidimensional temporal association rules;
一种多维时态关联规则数据挖掘算法
3.
Study on Multi-dimension of Temporal Association Rules Mining;
多维时态关联规则挖掘的研究
6) static association rule
静态关联规则
1.
Based on study of traditional static association rules,an exhibition and exploring approach that takes as its processing object change of transaction scales are presented.
在研究了传统的静态关联规则的基础上,提出了一种以交易规模的变化率为处理对象,即考虑各类项目交易量的变动状况的时态关联规则的表述与挖掘方法,并对其表述形式及算法实现进行了探讨。
补充资料:Gilliland关联
分子式:
CAS号:
性质:1940年E. R. Gilliland以50组二元及多元蒸馏的逐板计算结果为基础,提出精馏塔中回流比与分离所需理论塔板数的关联。在此关联中,以(N-Nm)/(N+1)为纵坐标,(R-Rm)/(R+1)为横坐标作图得出一条关联曲线,N为理论塔板数;Nm为最小理论塔板数;R为回流比L/D,L为塔内回流量,mol;D为塔顶产品量,mol;Rm为最小回流比。1972年V. K. Mdokanov等人曾将此关联曲线近似的用下式表示: 其中
CAS号:
性质:1940年E. R. Gilliland以50组二元及多元蒸馏的逐板计算结果为基础,提出精馏塔中回流比与分离所需理论塔板数的关联。在此关联中,以(N-Nm)/(N+1)为纵坐标,(R-Rm)/(R+1)为横坐标作图得出一条关联曲线,N为理论塔板数;Nm为最小理论塔板数;R为回流比L/D,L为塔内回流量,mol;D为塔顶产品量,mol;Rm为最小回流比。1972年V. K. Mdokanov等人曾将此关联曲线近似的用下式表示: 其中
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