基于时序数据库的转移规则挖掘算法研究

转移规则挖掘算法的提出对于关联挖掘算法等原有数据挖掘算法做了重要补充.然而,目前的转移规则挖掘算法由于选取挖掘对象的不当,往往使转移规则缺乏代表性,导致规则无参考价值.在分析原有转移规则挖掘方法不足的基础上,提出了两种改进的方法:基于关联挖掘的转移规则发现和基于概率关系数据模式的转移规则挖掘,并把这两种方法和现有的转移规则挖掘算法融合到一起,构造一个更为有效和可行的新的基于时序数据库的转移规则挖掘算法.

A Mining Algorithm for Transfer Rule Discovery Based on a New Time Series Database

Transfer rule mining is an important complement for the original data mining techniques such as association rule mining. However, since the mining object in the present transfer rules is not appropriate, the mined transfer rules are not representative and then the rules have no reference value. Therefore, based on the analysis of the deficiency of the original transfer rule mining techniques, this paper proposes two improved methods for the mining of transfer rules, aiming to reveal other implications that ...