Abstract
The fast updated frequent pattern tree (FUFP-tree) is an efficient data structure for association-rule mining. Hong et al. (2009) proposed an approach for the maintenance of the FUFP-tree structure after the deletion of transactions. However, all transactions in the original database might need to be rescanned to determine the occurrence of infrequent items, which were not stored during the mining and maintenance process. The rescanning process steps can be time-consuming depending on the original database size and number of rescanned items. The study in this paper enhances Hong et. al.'s approach. In the proposed algorithm, the infrequent 1-itemsets are stored during the maintenance process and the rescanned items are pruned out step by step to reduce execution time. Experimental results verify the performance of the proposed algorithm.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
