Title :
Mining Association Rules with Ontological Information
Author :
Tseng, Ming-Cheng ; Lin, Wen-Yang ; Jeng, Rong
Author_Institution :
I-Shou Univ., Kaohsiung
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;
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
DOI :
10.1109/ICICIC.2007.386
