High Utility Itemsets Mining Based on Divide-and-Conquer Strategy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-020-07753-w.pdf
Reference29 articles.
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3. Tseng, V. S., Shie, B. E., Wu, C. W., et al. (2013). Efficient algorithms for mining high utility itemsets from transactional databases. IEEE Transactions on Knowledge and Data Engineering, 25(8), 1772–1786.
4. Agrawal, R., Imielinaki, T., & Swami, A. (1993). Mining association rules between sets of items in large databases. In Proceedings of the ACM SIGMOD international conference on the management of data (pp. 207–216).
5. Singh, H., & Dhir, R. (2012). An effective method for association rule mining based on transactional matrix. International Journal of Computer Applications, 39(9), 13–15.
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