An Overview of Data Mining and Knowledge Discovery

作     者：范建华 李德毅 

作者机构：DepartmentofComputerScienceCommunicationEngineeringInstituteNanjing210016PR.China DepartmentofComp 

出 版 物：《Journal of Computer Science & Technology》 (计算机科学技术学报（英文版）)

年 卷 期：1998年第13卷第4期

页      面：348-368页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

主　　题：Knowledge discovery in databases data mining machine learning,association rule classification data clustering data generalization pattern searching 

摘      要：With massive amounts of data stored in databases, mining information and knowledge in databases has become an important issue in recent research. Researchers in many different fields have shown great interest in data mining and knowledge discovery in databases. Several emerging applications in information providing services, such as data warehousing and on-line services over the Internet, also call for various data mining and knowledge discovery techniques to understand user behavior better, to improve the service provided, and to increase the business opportunities. In response to such a demand, this article is to provide a comprehensive survey on the data mining and knowledge discovery techniques developed recently, and introduce some real application systems as well. In conclusion, this article also lists some problems and challenges for further research.