Title :
The study of association algorithm BGL based on binary system and oriented graph
Author :
Liu, Wen-yuan ; Liu, Yong-shan ; Liu, Lina ; Fang, Shu-fen
Author_Institution :
Dept. of Inf., YanShan Univ., China
Abstract :
The actuality of current algorithms in mining association rule is analyzed in this paper. A new algorithm, based on binary and graph, is put forward. The main idea and realization project of the algorithm are introduced detailed here. Then, comparing the performance of all kinds of algorithms proves the new algorithm having improved the efficiency of mining rules.
Keywords :
data mining; graphs; association rules algorithm; binary system; data mining; oriented graph; Algorithm design and analysis; Association rules; Data mining; Indexes; Information analysis; Itemsets; Machine learning algorithms; Performance analysis; Technology management; Transaction databases;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1264465
