Title :
Research of Commonly Used Association Rules Mining Algorithm in Data Mining
Author :
Zhong, Ruowu ; Wang, Huiping
Author_Institution :
Inst. of Comput., Shaoguan Univ., Shaoguan, China
Abstract :
This paper introduces the concept of data mining and its an important branch - association rules, describes the basic concept of association rules, the basic model of mining association rules, introduces the classical algorithm of association rules, and then classified discusses the association rules mining from several angles such as width, depth, partition, sampling and incremental updating. Finally, this paper prospects the association rules mining.
Keywords :
data mining; association rules mining algorithm; classical algorithm; data mining; depth; incremental updating; partition; sampling; width; Algorithm design and analysis; Association rules; Itemsets; Partitioning algorithms; association rules; data mining; frequent itemsets; mining algorithm;
Conference_Titel :
Internet Computing & Information Services (ICICIS), 2011 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-1561-7
DOI :
10.1109/ICICIS.2011.63