DocumentCode
3026052
Title
Comparison and Analysis of Algorithms for Association Rules
Author
Lijun, He ; Linghua, Li ; Xiaoniu, Li ; Degao, Wang
Author_Institution
Comput. Sci. Dept., Dalian Nat. Univ., Dalian, China
fYear
2009
fDate
25-26 April 2009
Firstpage
196
Lastpage
198
Abstract
Several algorithms for association rules are discussed which are AIS algorithm, SETM algorithm, Apriori algorithm etc. Their strengths and weaknesses are investigated. Their performance are compared and analyzed. Among all the algorithms, the most inefficient one is SETM algorithm but it is the most convenient one to combine DBMS.
Keywords
data mining; database management systems; AIS algorithm; Apriori algorithm; DBMS; SETM algorithm; association rules; database management system; Algorithm design and analysis; Application software; Association rules; Computer science; Data mining; Helium; Itemsets; Partitioning algorithms; Performance analysis; Transaction databases; association rules; data mining; itemset; support;
fLanguage
English
Publisher
ieee
Conference_Titel
Database Technology and Applications, 2009 First International Workshop on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3604-0
Type
conf
DOI
10.1109/DBTA.2009.42
Filename
5207783
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