中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
an efficient algorithm for mining erasable itemsets

文献类型:会议论文

作者Deng Zhihong ; Xu Xiaoran
出版日期2010
会议名称6th International Conference on Advanced Data Mining and Applications, ADMA 2010
会议日期40848
会议地点Chongqing, China
关键词Chemical industry Data mining
页码214-225
英文摘要Mining 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.
收录类别EI
会议主办者National Natural Science Foundation of China; Chongqing Science and Technology Commission; Chongqing Academy of Science and Technology
会议录Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版地Germany
语种英语
ISSN号3029743
ISBN号3642173152
源URL[http://124.16.136.157/handle/311060/8650]  
专题软件研究所_软件所图书馆_2010软件所会议论文
推荐引用方式
GB/T 7714
Deng Zhihong,Xu Xiaoran. an efficient algorithm for mining erasable itemsets[C]. 见:6th International Conference on Advanced Data Mining and Applications, ADMA 2010. Chongqing, China. 40848.

入库方式: OAI收割

来源:软件研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。