2009 IEEE International Conference on Granular Computing 2009
DOI: 10.1109/grc.2009.5255053
|View full text |Cite
|
Sign up to set email alerts
|

Favorable support threshold recommendation for multidimensional association mining using user preference ontology

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2011
2011
2012
2012

Publication Types

Select...
1
1

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 8 publications
0
2
0
Order By: Relevance
“…To overcome these problems, a new Apriori association rule method is proposed by using ontology [9]- [11]. Ontology represents knowledge with the relationships between concepts.…”
Section: Introductionmentioning
confidence: 99%
“…To overcome these problems, a new Apriori association rule method is proposed by using ontology [9]- [11]. Ontology represents knowledge with the relationships between concepts.…”
Section: Introductionmentioning
confidence: 99%
“…A detailed description of the distillation process can be found in (Wu et al, 2009). In short, we employ the association rule mining technique over the mining log to find surrogate patterns representative of frequently used queries in the mining history.…”
Section: User Preference Ontologymentioning
confidence: 99%