A Framework for Object-Oriented Data Mining

被引：2
|
作者：
Li, Linna [1 ]
Yang, Bingru [1 ]
Zhou, Faguo [1 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Informat Engn, Beijing 100083, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 2, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/FSKD.2008.298
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Data mining is the discovery of knowledge and useful information from the large amounts of data stored in databases. With the increasing popularity of object-oriented database system in advanced database applications, it is important to study the data mining methods for object-oriented database. This paper proposes that Escher is very suitable for describing knowledge for object-oriented data mining and presents a framework for object-oriented data mining. In this framework, Type information of data and semantic information of data model can be used to guide data mining process. A specific data mining task, frequent pattern discovery is investigated under this framework.
引用
收藏
页码：60 / 64
页数：5
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