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基于广义归纳逻辑因果模型的知识发现与算法实现
引用本文:张德政,石阳,邓一,杨炳儒.基于广义归纳逻辑因果模型的知识发现与算法实现[J].北京科技大学学报,2003,25(4):377-381.
作者姓名:张德政  石阳  邓一  杨炳儒
作者单位:1. 北京科技大学信息工程学院,北京,100083
2. 鞍山科技大学计算机系,鞍山,114002
基金项目:国家自然科学基金;69835001;
摘    要:以语言场、广义细胞自动机和广义归纳逻辑因果模型为理论依据,分析了广义因果联系类知识的发现机理,给出了因果联系类知识发现的实现算法。该算法为解决具有随机不确定和模糊不确定性特征的因果联系类知识的发现提供了行之有效的方法。通过算法的运行实例,验证和说明了算法的正确性和有效性。

关 键 词:数据挖掘  知识发现  广义归纳逻辑因果模型  广义因果联系  语言场  广义细胞自动机
修稿时间:2002年11月11日

Algorithm and Realization of KDD Based on the Generalized Inductive Logical Causal Model
ZHANG Dezheng SHI Yang DEND Yi,YANG Bingru Information Engineering School,University of Science and Technology Beijing,Beijing ,China Anshan Science and Technology University,Anshan ,China.Algorithm and Realization of KDD Based on the Generalized Inductive Logical Causal Model[J].Journal of University of Science and Technology Beijing,2003,25(4):377-381.
Authors:ZHANG Dezheng SHI Yang DEND Yi  YANG Bingru Information Engineering School  University of Science and Technology Beijing  Beijing  China Anshan Science and Technology University  Anshan  China
Institution:ZHANG Dezheng SHI Yang DEND Yi,YANG Bingru Information Engineering School,University of Science and Technology Beijing,Beijing 100083,China Anshan Science and Technology University,Anshan 114002,China
Abstract:Based on the fuzzy language field, generalized cell automation and generalized inductive logical causal model, the mechanism of causal relation knowledge discovery were studied, and an algorithm of KDD with causal rules was proposed. With this algorithm, the causal relation knowledge discovery with uncertainty of random and fuzzy can be done effectively. An example illustrate the correctness and effectiveness of the algorithm
Keywords:generalized inductive logical causal model  generalized causal relation  data mining  knowledge discovery
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