Page 159 - Kỷ yếu hội thảo khoa học lần thứ 12 - Công nghệ thông tin và Ứng dụng trong các lĩnh vực (CITA 2023)

143

là do PHUI-Miner -

6

Trong bài báo này, chúng tôi

. 7

.

1. Fournier-Viger P., Zhang Y., Lin J.C.-W., Dinh D.T., Bac Le H.: Mining correlated
high-utility itemsets using various measures. Logic Journal of the IGPL, 28(1), pp. 19 32,
(2020).
2. Fournier-Viger P., Wang Y., Lin J.C.-W., Luna J.M., Ventura S.: Trends in Artificial
Intelligence Theory and Applications. Artificial Intelligence Practices. Springer, Cham,
Mining cross-level high utility itemsets, pp. 858 871, (2020).
3. Tung N.T., Nguyen L.T.T., Nguyen, T.D.D., Fourier-Viger P., Nguyen N. T., Vo B.:
Efficient mining of cross-level high-utility itemsets in taxonomy quantitative databases.
Information Sciences, 587, pp. 41 62, (2022).
4. Song, W., Zheng, C., SFU-CE: Skyline Frequent-Utility Itemset Discovery Using the
Cross-Entropy Method. In: , et al. Intelligent Data Engineering and Automated Learning,
Lecture Notes in Computer Science, vol 13113. Springer, Cham, pp 354 366, (2021).
5. Song W., Zheng C., Fournier-Viger P.: Trends in Artificial Intelligence, Springer, Cham,
Mining skyline frequent-utility itemsets with utility filtering, pp. 411 424, (2021).
6. Fournier-Viger P., Yang Y., Lin J.C.W., Frnda, J.: Advances in Knowledge Discovery and
Data Mining. Springer, Cham, Mining locally trending high utility itemsets, pp. 99 111,
(2020).
7. Nouioua M., Fournier-Viger P., Wu C.W., Lin J.C.W., Gan W.: FHUQI-Miner: Fast high
utility quantitative itemset mining. Applied Intelligence, 51, pp. 6785 6809, (2021).
8. Nouioua M., Fournier-Viger P., Qu J.F., Lin J.C.W., Gan W., Song W.: CHUQI-Miner:
Mining correlated quantitative high utility itemsets. Proceedings of International
Conference on Data Mining Workshops, pp. 599 606, (2021).
9. Fournier-Viger P., Zhang Y., Chun-Wei L. J., Fujita H., Koh Y.S.: Mining local and peak
high utility itemsets. Information Sciences, vol. 481, pp. 344 367, (2019).
10. V. Nofong and P. Owiredu Okai and H. Abdel-Fatao and S. Kwashie and M. Bewong and
J. Wondoh, Towards Efficient Discovery of Target High Utility Itemsets, IEEE
International Conference on Data Mining Workshops (ICDMW), pp. 517-526, (2022).

ISBN: 978-604-80-8083-9 CITA 2023