Evaluating Non-redundant Rules of Various Sequential Rule Mining Algorithms
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-58669-0_39
Reference11 articles.
1. Noughabi, E.A.Z., Albadvi, A., Far, B.H.: How can we explore patterns of customer segments’ structural changes? a sequential rule mining approach. In: International Conference on Information Reuse and Integration, pp. 273–280. IEEE (2015)
2. Jannach, D., Jugovac, M., Lerche, L.: Adaptive recommendation-based modeling support for data analysis workflows. In: Proceedings of the 20th International Conference on Intelligent User Interfaces, pp. 252–262. ACM. March 2015
3. Zaki, M.J.: SPADE.: an efficient algorithm for mining frequent sequences. Mach. Learn. 1(1–2), 31–60 (2001)
4. Fournier-Viger, P., et al.: Mining partially-ordered sequential rules common to multiple sequences. IEEE Trans. Knowl. Data Eng. 27(8), 2203–2216 (2015)
5. Ijeast., et al.: Survey on sequence mining algorithms. Int. J. Eng. Appl. Sci. Technol. 58–64. IJEAST (2016)
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