A Survey of Privacy Preserving Utility Mining
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-04921-8_8
Reference46 articles.
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2. Ahmed, C.F., Tanbeer, S.K., Jeong, B.S.: A novel approach for mining high-utility sequential patterns in sequence databases. ETRI J. 32(5), 676–686 (2010)
3. Dinh, D.T., Le, B., Fournier-Viger, P., Huynh, V.N.: An efficient algorithm for mining periodic high-utility sequential patterns. Appl. Intell. 1–21 (2018)
4. Dinh, T., Huynh, V.N., Le, B.: Mining periodic high utility sequential patterns. In: Asian Conference on Intelligent Information and Database Systems, pp. 545–555. Springer (2017)
5. Dinh, T., Quang, M.N., Le, B.: A novel approach for hiding high utility sequential patterns. In: Proceedings of the 6th International Symposium on Information and Communication Technology, pp. 121–128. ACM (2015)
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