DocumentCode
2737663
Title
Mining Association Rules with Ontological Information
Author
Tseng, Ming-Cheng ; Lin, Wen-Yang ; Jeng, Rong
Author_Institution
I-Shou Univ., Kaohsiung
fYear
2007
fDate
5-7 Sept. 2007
Firstpage
300
Lastpage
300
Abstract
The problem of mining association rules incorporated with domain knowledge has been studied recently. Previous work was conducted individually on two types of knowledge, classification and composition. In this paper, we revisit this problem from a more unified viewpoint. We consider the problem of mining association rules with ontological information that presents not only classification but also composition relationship. Two effective algorithms are proposed with empirical evaluation displayed.
Keywords
data mining; ontologies (artificial intelligence); association rule mining; domain knowledge; knowledge classification; knowledge composition; ontological information; Algorithm design and analysis; Association rules; Data mining; Databases; Information management; Itemsets; Knowledge engineering; Ontologies; Organizing; Taxonomy;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location
Kumamoto
Print_ISBN
0-7695-2882-1
Type
conf
DOI
10.1109/ICICIC.2007.386
Filename
4427945
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