摘要
分布式知识获取是当前数据挖掘研究领域的热点问题之一。为了利用Rough集理论获取分布决策表中的知识,提出了一个基于Rough集理论的分布式知识获取模型,并讨论了数据在粗糙分布式环境下,运用信息抽取算子及知识生成算子获取全局决策规则的方法。这些理论与方法扩展了Rough集理论处理多数据源的知识获取问题。实例证明了这些方法的可行性。
Distributed data mining is one of key problems in the field of data mining. In order to extract knowledge from distributed information systems, a model of distributed knowledge acquisition based on rough sets theory is proposed. Then theories and methods for acquiring global decision rules used information extraction operator and use knowledge generation operator are developed. The practice illustrates the efficiency of these theories and methods.
出处
《计算机工程与设计》
CSCD
北大核心
2007年第4期760-762,765,共4页
Computer Engineering and Design
关键词
ROUGH集
决策信息系统
分布式数据挖掘
知识获取
智能信息处理
rough sets
decision information systems
distributed data mining
knowledge acquisition
intelligence information processing
