Title :
An Improved Algorithm for Mining Association Rules Based Complete Sub-Graph
Author :
Wang, Yufang ; Tian, Pei
Author_Institution :
Inf. Eng. Sch., Commun. Univ. of China, Beijing, China
Abstract :
This paper introduces the concept of data mining, basic idea of the improved algorithm based on graph-based for mining association rules, its algorithm, and the improved algorithm based on fully sub-graph to find frequent item sets, from which compared the improved algorithm with the original one. The improved algorithm can take lots of help to look for the association.
Keywords :
data mining; graph theory; association rules; complete sub-graph algorithm; data mining; Artificial intelligence; Association rules; Computer industry; Computer networks; Data engineering; Data mining; Itemsets; Memory; Mining industry; Visual databases;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5365410
