DocumentCode
596588
Title
A new association rules mining method based on ontology theory
Author
Yongqing Wang ; Yan Chen
Author_Institution
Manage. Sci. & Eng., Dalian Maritime Univ., Dalian, China
fYear
2012
fDate
18-20 Oct. 2012
Firstpage
287
Lastpage
291
Abstract
Association rules mining is a process of finding patterns from a very large volumes of data. The Apriori algorithm is the best-known association rules mining algorithm, whose objective is to find all co-occurrence relationships between data items. In this paper, a methodology that combines the Apriori algorithm with a domain-specific ontology is proposed. This method is to effectively utilize domain ontologies to find multiple layer association rules.
Keywords
data mining; ontologies (artificial intelligence); Apriori algorithm; association rules mining method; cooccurrence relationships; data items; data mining research; domain-specific ontology; multiple layer association rules; ontology theory; pattern finding process; Association rules; Conferences; Itemsets; Marine vehicles; Ontologies; Semantics;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-1743-6
Type
conf
DOI
10.1109/ICACI.2012.6463170
Filename
6463170
Link To Document