摘要
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。
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.
出处
《计算机技术与发展》
2006年第7期129-131,158,共4页
Computer Technology and Development
基金
国家自然科学基金资助项目(60473050)
浙江省自然科学基金资助项目(ZD0108)
