Association-rule based information source selection

	Association-rule based information source selection
	Yang, H ; Zhang, MJ ; Shi, ZZ
	2004
发表期刊	PRICAI 2004: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS
ISSN	0302-9743
卷号	3157 页码:563-574
摘要	The proliferation of information sources available on the Wide World Web has resulted in a need for database selection tools to locate the potential useful information sources with respect to the user's information need. Current database selection tools always treat each database independently, ignoring the implicit, useful associations between distributed databases. To overcome this shortcoming, in this paper, we introduce a data-mining approach to assist the process of database selection by extracting potential interesting association rules between web databases from a collection of previous selection results. With a topic hierarchy, we exploit intraclass and interclass associations between distributed databases, and use the discovered knowledge on distributed databases to refine the original selection results. We present experimental results to demonstrate that this technique is useful in improving the effectiveness of database selection.
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000223633300060
出版者	SPRINGER-VERLAG BERLIN
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/9862
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Yang, H
作者单位	1.Univ Wollongong, Sch IT & Comp Sci, Wollongong, NSW 2500, Australia 2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Yang, H,Zhang, MJ,Shi, ZZ. Association-rule based information source selection[J]. PRICAI 2004: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS,2004,3157:563-574.
APA	Yang, H,Zhang, MJ,&Shi, ZZ.(2004).Association-rule based information source selection.PRICAI 2004: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS,3157,563-574.
MLA	Yang, H,et al."Association-rule based information source selection".PRICAI 2004: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS 3157(2004):563-574.