摘要
数据挖掘被产业界认为是数据库系统最重要的前沿课题之一,是数据库技术、人工智能、机器学习等多学科相结合的产物。介绍了智能数据挖掘方法的研究现状及存在的问题,包括数据挖掘的定义、数据挖掘的任务;指出了数据挖掘研究的挑战性以及今后的发展方向。
Data mining is considered as one of the most important frontiers in database system,its core components have been under development for decades in research areas such as statistics,artifi-cial intelligence,and machine learning.Based on these developments,many good algorithms for vari-ous data mining tasks are obtained.Existing data mining approaches are introduced including its def-inition and task,and their shortcomings are pointed out.The trend of data mining techniques is dis-cussed in this paper.
出处
《湖北汽车工业学院学报》
2004年第1期52-56,共5页
Journal of Hubei University Of Automotive Technology
基金
国家自然科学基金(60372072)
中国博士后基金项目(2003033519)
关键词
智能化
数据挖掘
规则提取
intelligence
data mining
rule extraction
