Title :
A support-based vertical partitioning method for database design
Author :
Rodríguez, Lisbeth ; Li, XiaoOu
Author_Institution :
Dept. of Comput. Sci., CINVESTAV-IPN, Mexico City, Mexico
Abstract :
In association rule mining, support is a measure of association between two sets of items, which indicates the relative occurrence of both sets within the overall set of transactions. In this paper, we propose a support-based vertical partitioning method that is easy to implement and can find an optimal vertical partitioning scheme. We present several experimental results to clarify the validness of the proposed method.
Keywords :
data mining; database management systems; association rule mining; database design; optimal vertical partitioning scheme; support-based vertical partitioning method; Association rules; Itemsets; Partitioning algorithms; Support vector machines; Symmetric matrices; Association rules; data mining; databases; support measure; vertical partitioning;
Conference_Titel :
Electrical Engineering Computing Science and Automatic Control (CCE), 2011 8th International Conference on
Conference_Location :
Merida City
Print_ISBN :
978-1-4577-1011-7
DOI :
10.1109/ICEEE.2011.6106682
