Correlated time-window constrained high-utility itemsets mining with certain and uncertain real-life datasets
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19715-6.pdf
Reference30 articles.
1. Ashraf M, Abdelkader T, Rady S, Gharib TF (2022) TKN: An efficient approach for discovering top-k high utility itemsets with positive or negative profits. Inf Sci 587:654–678
2. Duong H, Tran T, Truong T, Le B (2023) MFG-HUI: an efficient algorithm for mining frequent generators of high utility itemsets. In International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making Cham: Springer Nature Switzerland 267–280
3. Huang S, Gan W, Miao J, Han X, Fournier-Viger P (2023) Targeted mining of top-k high utility itemsets. arXiv preprint arXiv:230314510. https://doi.org/10.1016/j.engappai.2023.107047
4. Kim S, Kim H, Cho M, Kim H, Vo B, Lin JCW, Yun U (2023) Efficient approach for mining high-utility patterns on incremental databases with dynamic profits. Knowl-Based Syst 111060. https://doi.org/10.1016/j.knosys.2023.111060
5. Alhusaini N, Jing L, Fournier-Viger P, Hwabani A Mining actual high utility itemsets in transaction dataset considering items cost
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