Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computers in Earth Sciences,Computer Science Applications,Geography, Planning and Development
Reference63 articles.
1. Tjioe, H. C., & Taniar, D. (2008). Mining association rules in data warehouses. International Journal of Data Warehousing and Mining, 1(3), 54–63.
2. Djenouri, Y., Djenouri, D., Habbas, Z., & Belhadi, A. (2018). How to exploit high performance computing in population-based metaheuristics for solving association rule mining problem. Distributed and Parallel Databases, 36, 1–29.
3. Kalia, H., Dehuri, S., & Ghosh, A. (2013). A survey on fuzzy association rule mining. International Journal of Data Warehousing and Mining (IJDWM), 9(1), 1–27.
4. Li, L., & Singham, M. (2015). The applicability of the perturbation model-based privacy preserving data mining for real-world data. In International conference on data mining workshops (pp. 98–105), IEEE.
5. Li, L., et al. (2016). Privacy-preserving-outsourced association rule mining on vertically partitioned databases. IEEE Transactions on Information Forensics and Security, 11(8), 1847–1861.
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