Title :
Mining erasable itemsets
Author :
Deng, Zhi-Hong ; Fang, Guo-dong ; Wang, Zhong-hui ; Xu, Xiao-ran
Author_Institution :
Key Lab. of Machine Perception (Minist. of Educ.), Peking Univ., Beijing, China
Abstract :
In this paper, we introduce a new kind of mining problem - mining erasable itemsets, which is derived from planning products of the manufacturing industry. For this problem, we first present the formal definition of mining erasable itemsets and discuss some basic properties of the problem. Based on our analyses, we propose an efficient algorithm, META, for mining erasable itemsets. For evaluating META algorithm, we built three synthetic product databases. The results of applying META algorithm to these synthetic databases show its effectiveness.
Keywords :
data mining; manufacturing industries; production engineering computing; production planning; manufacturing industry; mining erasable itemsets; synthetic product databases; Cybernetics; Data mining; Databases; Forward contracts; Itemsets; Machine learning; Manufacturing; Mining industry; Pattern analysis; Production facilities; META; Mining erasable itemsets; Mining problem;
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.2009.5212520
