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An Overview of Data Mining and Knowledge Discovery
作者姓名:Fan Jianhua  Li Deyi
作者单位:[1]DepartmentofComputerScience,CommunicationEngineeringInstituteNanjing210016,P,R.China [2]DepartmentofComp,CommunicationEngineeringInstituteNanjing210016,P,R.China
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 date 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 tchniques to understand used 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 discorvery techniques developed recently,and introduce some real application systems as well.In conclusion,this article also lists some problems and challenges for further research.

关 键 词:数据库  知识发现  机器学习  数据开采

An overview of data mining and knowledge discovery
Fan Jianhua,Li Deyi.An Overview of Data Mining and Knowledge Discovery[J].Journal of Computer Science and Technology,1998,13(4):348-368.
Authors:Jianhua Fan  Deyi Li
Affiliation:(1) Department of Computer Science, Communication Engineering Institute, 210016 Nanjing, P.R. China;(2) System Engineering Institute, 100039 Beijing, P.R. China
Abstract: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.
Keywords:Knowledge discovery in databases  data mining  machine learning  association rule  classification  data clustering  data generalization  pattern searching
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