中文摘要：

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。

英文摘要：

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.