2008 International Symposium on Electronic Commerce and Security High Efficiency Association Rules Mining Algorithm for Bank Cost Analysis August 03-August 05 ISBN: 978-0-7695-3258-5
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISECS.2008.47
This paper introduces improving rate and proposes the incremental mining algorithm for optimizing association rules based on CBA mining algorithm. Comparing with the traditional algorithm, the improved algorithm is fast, efficient in incremental data mining and can find trends in association rules. The decision making reliability is enhanced by the association rules obtained from the improved algorithm. The algorithm was used to bank cost analysis with test results showing that the prediction precision of the algorithm is better than that of the traditional algorithm.
Index Terms:
association rules mining, incremental mining, bank cost analysis
Citation:
Ying Mei, Liangsheng Zhu, "High Efficiency Association Rules Mining Algorithm for Bank Cost Analysis," isecs, pp.57-60, 2008 International Symposium on Electronic Commerce and Security, 2008 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||