DocumentCode :
2678363
Title :
A vertical format algorithm for mining frequent item sets
Author :
Guo, Yi-Ming ; Wang, Zhi-Jun
Author_Institution :
Inst. of Grad., Liaoning Tech. Univ., Huludao, China
Volume :
4
fYear :
2010
fDate :
27-29 March 2010
Firstpage :
11
Lastpage :
13
Abstract :
Apriori is a classical algorithm for association rules. In order to get the support degree of candidate sets, Apriori needs to scan the database for many times. This paper presents a new algorithm, which mine frequent item sets with vertical format. The new algorithm only needs to scan database one time. And in the follow-up data mining process, it can get new frequent item sets through `and operation´ between item sets. The new algorithm needs less storage space, and can improve the efficiency of data mining.
Keywords :
data mining; association rules; data mining process; frequent item sets mining; vertical format algorithm; Association rules; Consumer electronics; Data mining; Educational institutions; Electronic mail; Pattern matching; Space technology; Statistics; Transaction databases; Apriori; data mining; vertical format;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
Type :
conf
DOI :
10.1109/ICACC.2010.5487072
Filename :
5487072
Link To Document :
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