Author:
Wong Ian Shane,Dobbie Gillian,Koh Yun Sing
Publisher
Springer International Publishing
Reference18 articles.
1. Trefethen, L., Bau, D.: Numerical Linear Algebra. Other Titles in Applied Mathematics. Society for Industrial and Applied Mathematics (1997)
2. Belohlavek, R., Vychodil, V.: Discovery of optimal factors in binary data via a novel method of matrix decomposition. J. Comput. Syst. Sci. 76(1), 3–20 (2010)
3. Guzzo, A., Moccia, L., Saccà, D., Serra, E.: Solving inverse frequent itemset mining with infrequency constraints via large-scale linear programs. ACM Trans. Knowl. Disc. Data (TKDD) 7(4), 18 (2013)
4. Guzzo, A., Saccà, D., Serra, E.: An effective approach to inverse frequent set mining. In: Ninth IEEE International Conference on Data Mining, ICDM 2009, pp. 806–811. IEEE (2009)
5. Wu, X., Wu, Y., Wang, Y., Li, Y.: Privacy-aware market basket data set generation: a feasible approach for inverse frequent set mining. In: Proceedings of the 2005 SIAM International Conference on Data Mining, pp. 103–114. SIAM (2005)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Machine learning methods for generating high dimensional discrete datasets;WIREs Data Mining and Knowledge Discovery;2022-01-18
2. Synthetic Dataset Generation with Itemset-Based Generative Models;2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW);2019-10