Journal of Information Engineering and Applications www.
iiste.
org
ISSN 2224-5758 (print) ISSN 2224-896X (online)
Vol 1, No.
2, 2011
18 | P a g e
www.
iiste.
org
Hybrid Association Rule Mining using AC Tree
Preethi Kolluru Ramanaiah1*
1.
Business...
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Journal of Information Engineering and Applications www.
iiste.
org
ISSN 2224-5758 (print) ISSN 2224-896X (online)
Vol 1, No.
2, 2011
18 | P a g e
www.
iiste.
org
Hybrid Association Rule Mining using AC Tree
Preethi Kolluru Ramanaiah1*
1.
Business Technology Analyst, Deloitte, Bangalore, India
* E-mail: preethiram4@gmail.
com
Abstract
In recent years, discovery of association rules among item sets in large database became popular.
It
gains its attention on research areas.
Several association rule mining algorithms were developed for
mining frequent item set.
In this papers, a new hybrid algorithm for mining multilevel association rules
called AC Tree i.
e.
, AprioriCOFI tree was developed.
This algorithm helps in mining association rules
at multiple concept levels.
The proposed algorithm works faster compared to traditional association
rule mining algorithm and it is efficient in mining rules from large text documents.
Keywords: Association rules, Apriori, FP tree, COFI tree, Co
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