作　　者： ;

机构地区： 长沙学院计算机科学与技术系

出　　处： 《航空计算技术》 2006年第2期50-52,共3页

摘　　要： 目的是建立同时具备并行关系、时序关系和因果关系等三个关系新前提下的数据挖掘的关联规则。本文指出了初始关联规则存在的三个潜在的前提;探讨了同时背离这三个潜在前提建立新的关联规则的可行性;给出了建立两并行关联事件之间因果关联规则的方法;从而获得了在新的背景下的关联规则。在此基础上,本文提供了联系并行关联的因果关系的范例,作为在具有并行、时序和因果等复杂关系数据库中的综合挖掘的一个途径。 In this paper, we try to establish a data mining association rule with new precondition which based on parallel relation, time series relation and causal relation. Three potential preconditions existed in ＂classical＂ association rule will be pointed out. The feasibility of new association rule will be discussed if the three potential preconditions have been abandoned. The method which created the association rule of causal relation between two events with parallel relation has been given. A new association rule which based on new condition has been defined. And we provided a causal relation example which connected with parallel association. This example is an integrated data mining approach which used in the complex database existed parallel relation, time series relation and causal relation.

关 键 词： 关联规则 并行关系 因果关系

领　　域： [自动化与计算机技术] [自动化与计算机技术]