VINCENT NOFONG

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    • About
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VINCENT NOFONG

VINCENT NOFONGVINCENT NOFONGVINCENT NOFONG
  • About
  • Publications
  • Professional Activities
  • Blog
  • Awards
  • Courses

Book Chapters

  1.  Nofong, V. M., Abdel-Fatao H., Afriyie, M. K. and Wondoh, J.: Discovering Self-Reliant Periodic Frequent Patterns. In: Kiran, R. U., Fournier-Viger, P., Mondal, A., Luna, J. M., and Lin, J. CW. (eds), Periodic Pattern Mining: Theory, Algorithms and Applications, pp. 105–131, 2021.

Journal Papers

  1.  Nofong, V. M., Abdel-Fatao, H: Towards Predicting the Occurrence Times of Emerging and Decaying Patterns. Data Science and Pattern Recognition, 5(1) 16-26, 2021. Download
  2. Afriyie, M. K, Nofong, V. M., Wondoh, J., Abdel-Fatao, H.:  Efficient Mining of Non-Redundant Periodic Frequent Patterns. Vietnam Journal of Computer Science. 8(4) 1-15, 2021. Download
  3. Nofong, V. M. , Wondoh, J.: Towards Fast and Memory Efficient Mining of Periodic Frequent Patterns.  Journal of Information and Telecommunication, 3(4): 480-493, 2019. Download
  4. Nofong, V. M.:  Discovering Productive Periodic Frequent Patterns in Transactional Databases. Annals of Data Science, 3(3): 235-249, 2016. Download

Conference and Workshop Papers

  1. Nofong, V. M., Owiredu, P. O.,  Abdel-Fatao, H., Kwashie, S., Bewong, M., Wondoh, J.: Towards Efficient Discovery of Target High Utility Itemsets. In: 2022 IEEE International Conference on Data Mining Workshops (ICDMW), Orlando, FL, USA, 2022, pp. 517-526, doi: 10.1109/ICDMW58026.2022.00073. 
  2. Afriyie, M. K, Nofong, V. M., Wondoh, J., Abdel-Fatao, H.: Mining Non-redundant Periodic Frequent Patterns.  In: Nguyen N., Jearanaitanakij K., Selamat A., Trawiński B., Chittayasothorn S. (eds) Intelligent Information and Database Systems. LNCS, vol 12033, pp.  321-331. Springer, Cham, March 2020. 
  3. Nofong, V. M.:  Fast and Memory Efficient Mining of Periodic Frequent Patterns. In: Sieminski A., Kozierkiewicz A., Nunez M., Ha Q. (eds) Modern Approaches for Intelligent Information and Database Systems. SCI, vol 769, pp. 223-232. Springer, Cham, March 2018.
  4. Nofong, V.M.: EDTrend: A Methodology for Trend Prediction with Emerging and Decaying Patterns. Proceedings of the Australasian Computer Science Week Multiconference (ACSW ’16). Article 19, 8 pages, Association for Computing Machinery, New York, USA, February 2016. Best Student Paper Award
  5. Nofong, V.M., Liu, J., Li, J.: Efficient Mining of Non-derivable Emerging Patterns.   In: Sharaf M., Cheema M., Qi J. (eds) Databases Theory and Applications. LNCS, vol 9093, pp. pp. 244-256. Springer, Cham , May 2015.
  6. Nofong, V.M.: Mining Productive Emerging Patterns and Their Application in Trend Prediction. Proceedings of the 13th Australasian Data Mining Conference, CRPIT vol. 168, pp. 109-117, Australian Computer Society, August 2015
  7. Nofong, V.M.: Discovering Productive Periodic Frequent Patterns in Transactional Databases.   In: Zhang C. et al. (eds) Data Science. LNCS, vol 9208, pp. 141-150, Springer, Heidelberg, December 2015
  8. Nofong, V.M., Liu, J., Li, J.: A Study on the Applications of Emerging Sequential Patterns.  In: Wang H., Sharaf M.A. (eds) Databases Theory and Applications. LNCS, vol 8506, pp. 62-73, Springer, Heidelberg, July 2014

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