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

Volume

1

fYear

2009

fDate

12-15 July 2009

Firstpage

67

Lastpage

73

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMLC.2009.5212520

Filename

5212520