摘要
本文讨论了将人工智能中的机器学习和知识获取技术与数据库技术相结合以开发提高数据库的学习能力 ,使智能数据推理规划更加完善。还讨论了知识获取与机器学习所采用的推理方法 ;知识获取与数据库相结合的学习系统。阐述了数据仓库的含义及特点 。
In this paper,It is discussed that machine study and KA(knowledge acquisition) of AI(artificial intelligence) integrating data-base drill can develop data-base's ability of study,and make ratiocinative regulation of IDB perfect,including organon that KA and machine study;adopt and study system of integration of KA and data-base. DW(data warehouse)'s meanings and characteristics, are also expatiated upon,and then essentiality of DM(data mining) and KD(knowledge discovery) in data warehouse are put forward.
出处
《新疆石油学院学报》
CAS
2000年第3期61-63,共3页
Journal of Xinjiang Petroleum Institute
关键词
人工智能
机器学习
知识获取
数据仓库
数据挖掘
artificial intelligence(AI),machine study,knowledge acquisition,data warehouse,data mining,knowledge discovery.
