基于Multi-Agent的数据挖掘模型的研究

数据挖掘是人们长期对数据库研究的结果,但是传统的数据挖掘存在低效性和非智能化等不足。随着具有自主性和社会性的智能计算实体Agent的出现和发展,文中将Multi-agent技术应用到数据挖掘中,并提出了基于Multi-agent智能化的数据挖掘模型,讨论了模型的运行过程。这一模型弥补了传统数据挖掘的缺陷和不足,而且在很大程度上提高了数据挖掘的智能性和高效性,减少了人工的参与。

Research of Data-Mining Model Based on Multi-Agent

Data-mining is the result of the researches of database by people for a long time,but there are some inefficiencies and non-intelligence.With the performance and development of intelligent computing entity,agent,which has the capabilities of self-determination and socialization,this paper applies the multi-agent technology into data-mining,and puts forward an intelligent model based on multi-agent,and discusses the running process of this model.The model makes up the limitation and deficiencies;moreover,to a great extent it improves the capabilities of intelligence and efficiency,and reduces the participation by people.