UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases - researchr publication authors

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Palla Likhitha, Rage Veena, Rage Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger. UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases. In Mohammad Tanveer 0001, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt, editors, Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part V. Volume 1792 of Communications in Computer and Information Science, pages 182-194, Springer, 2022. [doi]

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