数据开采中基于用户需求的关联模型

数据开采中基于用户需求的关联模型 The Association Model Based on User’s Requirement in Data Mining 张凯 ZHANG Kai 1 2 first-author 曹加恒 CAO Jia\|heng 1 2 舒风笛 SHU Feng\|di 1 2 曹斌 CAO Bin 1 2 熊晖 XIONG Hui 1 2 武汉大学数学与计算机科学学院!软件工程国家重点实验室武汉,430072 武汉大学数学与计算机科学学院!软件工程国家重点实验室武汉,430072 College of Mathematics and Computer Science/State Key Laboratory of Software Engineering, Wuhan University College of Mathematics and Computer Science/State Key Laboratory of Software Engineering, Wuhan University 武汉大 武汉大 提出一个基于用户需求的关联模型，引入了相关度的概念，给出了启发式查找与相联规则的ＮＥＡ抽取算法，有效的解决数据开采关联模型中查找规则的盲目性和冗余性，并使重要的信息不被丢失． Data mining is the most important step in KDD,so this paper suggests an association model based on user’s requirement.It gives a definition of “association” degree and a NEA algorithm to use enlighted search in searching for association rules.It is very efficient,it also can make important information not lost. 数据开采 关联模型 相关度 抽取算法 用户需求 data mining association model association degree extract algorithm user’s requirement TP311.13 湖北省科委重点项目 1999-05-01 2021-04-01 5