ISCAS OpenIR  > 2010软件所会议论文
an efficient algorithm for mining erasable itemsets
Deng Zhihong; Xu Xiaoran
2010
Conference Name6th International Conference on Advanced Data Mining and Applications, ADMA 2010
SourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages214-225
Conference Date40848
Conference PlaceChongqing, China
Indexed Typeei
Publish PlaceGermany
ISSN3029743
ISBN3642173152
Department(1) Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China; (2) State Key Lab. of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China
English AbstractMining erasable itemsets first introduced in 2009 is one of new emerging data mining tasks. In this paper, we present a new data representation called PID-list, which keeps track of the id-nums (identification number) of products that include an itemset. Based on PID-list, we propose a new algorithm called VME for mining erasable itemsets efficiently. The main advantage of VME algorithm is that the gain of an itemset can be computed efficiently via union operations on product id-nums. In addition, VME algorithm can also automatically prune irrelevant data. For evaluating VME algorithm, we have conducted experiments on six synthetic product databases. Our performance study shows that the VME algorithm is efficient and is on average over two orders of magnitude faster than the META algorithm, which is the first algorithm for dealing with the problem of erasable itemsets mining. © 2010 Springer-Verlag.
KeywordChemical Industry Data Mining
SponsorshipNational Natural Science Foundation of China; Chongqing Science and Technology Commission; Chongqing Academy of Science and Technology
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/8650
Collection2010软件所会议论文
Recommended Citation
GB/T 7714
Deng Zhihong,Xu Xiaoran. an efficient algorithm for mining erasable itemsets[C]. Germany,2010:214-225.
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