Calculated based on number of publications stored in Pure and citations from Scopus
20172024

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  • 2024

    An Effective Correlated High Utility Itemset Mining Algorithm

    Okai, P., Nofong, V. M., Kwashie, S. & Bewong, M., 2024, 28th Pacific Asia Conference on Knowledge Discovery and Data Mining: Workshop on Utility-Driven Mining and Learning.

    Research output: Book chapter/Published conference paperConference paperpeer-review

    Open Access
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    62 Downloads (Pure)
  • Discovering Graph Differential Dependencies

    Zhang, Y., Kwashie, S., Bewong, M., Hu, J., Mahboubi, A., Guo, X. & Feng, Z., 2024, Database Theory and Applications: 34th Australasian Database Conference, ADC 2023, Proceedings. Bao, Z., Borovica-Gajic, R., Qiu, R., Choudhury, F. & Yang, Z. (eds.). Cham, Switzerland: Springer, Vol. 14386. p. 259-272 14 p. (Lecture Notes in Computer Science; vol. 14386, no. 1).

    Research output: Book chapter/Published conference paperConference paperpeer-review

    Open Access
    File
    57 Downloads (Pure)
  • Malicious package detection using metadata information

    Halder, S., Bewong, M., Mahboubi, A., Jiang, Y., Islam, R., Islam, Z., Ip, H. L., Ahmed, M. E., Ramachandran, G. S. & Babar, M. A., 13 May 2024, WWW 2024 - Proceedings of the ACM Web Conference: Proceedings of the ACM Web Conference 2024. Association for Computing Machinery, Inc (ACM), p. 1779-1789 11 p. (WWW 2024 - Proceedings of the ACM Web Conference).

    Research output: Book chapter/Published conference paperConference paperpeer-review

    Open Access
    File
    3 Downloads (Pure)
  • Optimization of UD-LDP with statistical prior knowledge

    Thedchanamoorthy, G., Bewong, M., Mohammady, M., Zia, T. & Islam, Z., 2024, (Accepted/In press) Optimization of UD-LDP with statistical prior knowledge. IEEE Xplore, p. 25-30 6 p.

    Research output: Book chapter/Published conference paperConference paperpeer-review

  • 2023

    FastAGEDs: Fast Approximate Graph Entity Dependency discovery

    Zhou, G., Kwashie, S., Zhang, Y., Bewong, M., Nofong, V. M., Hu, J., Cheng, D., He, K., Liu, S. & Feng, Z., 2023, Web Information Systems Engineering – WISE 2023: 24th International Conference Melbourne, VIC, Australia, October 25–27, 2023 Proceedings. Zhang, F., Wang, H., Barhamgi, M., Chen, L. & Zhou, R. (eds.). Singapore: Springer, Vol. 14306. p. 451-465 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14306 LNCS).

    Research output: Book chapter/Published conference paperConference paperpeer-review

    Open Access
    File
    1 Citation (Scopus)
    9 Downloads (Pure)
  • 2022

    Towards efficient discovery of target High Utility Itemsets

    Nofong, V., Okai, P., Abdel-Fatao, H., Kwashie, S., Bewong, M. & Wondoh, J., 2022, Proceedings, 22nd IEEE International Conference on Data Mining Workshops: ICDMW 2022. Candan, K. S., Dinh, T. N., Thai, M. T. & Washio, T. (eds.). IEEE, p. 517-526 10 p. 22597200

    Research output: Book chapter/Published conference paperConference paperpeer-review

  • 2019

    Linking graph entities with multiplicity and provenance

    Liu, J., Kwashie, S., Li, J., Liu, L. & Bewong, M., 2019, Proceedings of the 2nd International workshop on EntitY REtrieval (EYRE 2019), Beijing, China, November 3, 2019. Cheng, G., Gunaratna, K. & Wang, J. (eds.). Association for Computing Machinery (ACM), p. 1-7 7 p.

    Research output: Book chapter/Published conference paperConference paperpeer-review

    Open Access
    File
    26 Downloads (Pure)
  • 2017

    A relative privacy model for effective privacy preservation in transactional data

    Bewong, M., Liu, J., Liu, L., Li, J. & Choo, K. R., 11 Sept 2017, (E-pub ahead of print) 2017 IEEE Trustcom/BigDataSE/ICESS. IEEE, p. 394-401 8 p.

    Research output: Book chapter/Published conference paperConference paperpeer-review

    6 Citations (Scopus)
  • Utility aware clustering for publishing transactional data

    Bewong, M., Liu, J., Liu, L. & Li, J., 2017, Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia Conference, PAKDD 2017 Jeju, South Korea, May 23–26, 2017 Proceedings, Part II. Kim, J., Shim, K., Cao, L., Lee, J-G., Lin, X. & Moon, Y-S. (eds.). Cham: Springer International Publishing AG, p. 481-494 14 p.

    Research output: Book chapter/Published conference paperConference paperpeer-review

    7 Citations (Scopus)