Title :
An Association Rules Algorithm Based on Biclustering
Author :
Zhang, Min ; Ge, Wenhang ; Hou, Yu
Author_Institution :
Coll. of Inf. Eng., Dalian Univ., Dalian, China
Abstract :
Existing association rules mining algorithm for small scale data have good results, but with a lot of data collection and storage, will greatly reduce the efficiency of the existing algorithm. In this paper transformed association rules problem into Biclustering problem, complete association rule mining well, its efficiency and complexity of the issues is lower than the Apriori algorithm.
Keywords :
data mining; pattern clustering; Apriori algorithm; Biclustering problem; association rules algorithm; data collection; data mining; data storage; Algorithm design and analysis; Association rules; Clustering algorithms; Itemsets; Matrix converters; association rules; biclustering; equivalent model; frequent itemset;
Conference_Titel :
Computational Science and Engineering (CSE), 2011 IEEE 14th International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-1-4577-0974-6
DOI :
10.1109/CSE.2011.107
