2016

Ph.D. Computer and Information Science
University of South Australia

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2010

BSc. (Hons) Electrical and Electronic Engineering
University of Mines and Technology

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2012--2016

University of South Australia

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2006--2010

University of Mines and Technology

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2019--Now

ACM Special Interest Group on Knowledge Discovery and Data Mining

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2016--Now

Australian Computer Society

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2015--Now

Association for Computing Machinery

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2020

Erasmus+ Mobility Program, Project No. 2019-1-HR01-KA107-060762, 2020

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2016

Best Student Paper, 39th Australasian Computer Science Conference

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2012

University of South Australia President's Scholarship

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2012

UMaT/GETFund Postgraduate Scholarship

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2021--Now

Senior Lecturer

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2016--2021

Lecturer

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1. Nofong, V. M. and Abdel-Fatao, H. (2021), " Towards Predicting the Occurrence Times of Emerging and Decaying Patterns.", Data Science and Pattern Recognition., 5 (1), 16-26

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2. Afriyie, M. K, Nofong, V. M., Wondoh, J. and Abdel-Fatao, H. (2021), "Efficient Mining of Non-Redundant Periodic Frequent Patterns.", Vietnam Journal of Computer Science., 8 (4), 1-15

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3. Nofong, V. M. and Wondoh, J. (2019), "Towards Fast and Memory Efficient Mining of Periodic Frequent Patterns.", Journal of Information and Telecommunication., 3 (4), 480-493

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4. Nofong, V. M. (2016), "Discovering Productive Periodic Frequent Patterns in Transactional Databases.", Annals of Data Science., 3 (3), 235-249

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1. Nofong, V. M., Owiredu, P. O., Abdel-Fatao, H., Kwashie, S., Bewong, M.,Wondoh, J. (2022), "Towards Efficient Discovery of Target High Utility Itemsets", Proc. 5th International Workshop on Utility-Driven Mining and Learning (UDML 2022). IEEE ICDM 2022 Workshop Proceedings,

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2. Afriyie, M. K, Nofong, V. M., Wondoh, J., and Abdel-Fatao, H. (2020), " Mining Non-redundant Periodic Frequent Patterns", Intelligent Information and Database Systems. LNCS, vol 12033., 321-331

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3. Nofong, V. M. (2018), " Fast and Memory Efficient Mining of Periodic Frequent Patterns.", Modern Approaches for Intelligent Information and Database Systems. SCI, vol 769, 223-232

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4. Nofong, V. M. (2016), "EDTrend: A Methodology for Trend Prediction with Emerging and Decaying Patterns.", Australasian Computer Science Week Multiconference, 1-8

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5. Nofong, V. M., Liu J. and Li J. (2015), "Efficient Mining of Non-derivable Emerging Patterns", Databases Theory and Applications, LNCS, vol. 9093, 244–256

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6. Nofong, V. M. (2015), "Mining Productive Emerging Patterns and Their Application in Trend Prediction"", 13th Australasian Data Mining Conference, CRPIT vol. 168, 109-117

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7. Nofong, V. M. (2015), "Discovering Productive Periodic Frequent Patterns in Transactional Databases", Data Science, LNCS, vol. 9208, 141-150

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8. Nofong, V. M., Liu J. and Li J. (2014), "A Study on the Applications of Emerging Sequential Patterns", Databases Theory and Applications, LNCS, vol. 8506, 62–73

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Nofong, V. M., Abdel-Fatao H., Afriyie, M. K. and Wondoh, J.(2021), Discovering Self- Reliant Periodic Frequent Patterns Periodic Pattern Mining: Theory, Algorithms and Applications, 105-131

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Data Mining and Data Warehousing

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Programming with Java

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Data Structures and Algorithms

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Operating Systems

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2020--

Reviewer, Applied Intelligence

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2019--

Reviewer, Knowledge-Based Systems

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2017--

Reviewer, Decision Support Systems

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2016--

Reviewer, Asian Conference on Intelligent Information and Database Systems

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2013--

Reviewer, Advances in Social Network Analysis and Mining

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2012--

Reviewer, Advances in Artificial Intelligence

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