Title :
An implementation of improved apriori algorithm
Author :
Yang, Gang ; Zhao, Hong ; Wang, Lei ; Liu, Ying
Author_Institution :
Coll. of Math. & Comput. Sci., Hebei Univ., Baoding, China
Abstract :
Data mining is the analysis of (often large) observational data sets to find unsuspected relationships and to summarize the data in novel ways that are both understandable and useful to the data owner. Association rules are highly popular data mining method. Association rules show attributes value conditions that occur frequently together in a given dataset. And apriori is an efficient association rule mining algorithm.
Keywords :
data analysis; data mining; association rule mining algorithm; data mining method; improved a priori algorithm; observational data set; Algorithm design and analysis; Association rules; Data mining; Database systems; Educational institutions; Information analysis; Information retrieval; Machine learning; Machine learning algorithms; Performance analysis; Apriori algorithm; Association rules; Data mining;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212246
