Michael Bewong

According to our database, Michael Bewong authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Malicious Package Detection using Metadata Information.

S. Halder, Michael Bewong, Arash Mahboubi, Y. Jiang, R. Islam, Z. Islam, Ryan H. L. Ip, E. Ahmed, G. Ramachandran, A. Babar

CoRR, 2024

2023

A semi-automated hybrid schema matching framework for vegetation data integration.

Md. Asif-Ur-Rahman, Bayzid Ashik Hossain, Michael Bewong, Md Zahidul Islam, Yanchang Zhao, Jeremy Groves, Rory Judith

Expert Syst. Appl., November, 2023

OutCenTR: A novel semi-supervised framework for predicting exploits of vulnerabilities in high-dimensional datasets.

Hadi Eskandari, Michael Bewong, Sabih ur Rehman

CoRR, 2023

FASTAGEDS: Fast Approximate Graph Entity Dependency Discovery.

Guangtong Zhou, Selasi Kwashie, Yidi Zhang, Michael Bewong, Vincent Mwintieru Nofong, Debo Cheng, Keqing He, Zaiwen Feng

CoRR, 2023

An Efficient Approach for Discovering Graph Entity Dependencies (GEDs).

Dehua Liu, Selasi Kwashie, Yidi Zhang, Guangtong Zhou, Michael Bewong, Xiaoying Wu, Xi Guo, Keqing He, Zaiwen Feng

CoRR, 2023

DATM: A Novel Data Agnostic Topic Modeling Technique With Improved Effectiveness for Both Short and Long Text.

Michael Bewong, John Wondoh, Selasi Kwashie, Jixue Liu, Lin Liu, Jiuyong Li, Md Zahidul Islam, David Kernot

IEEE Access, 2023

FastAGEDs: Fast Approximate Graph Entity Dependency Discovery.

Guangtong Zhou, Selasi Kwashie, Yidi Zhang, Michael Bewong, Vincent Mwintieru Nofong, Junwei Hu, Debo Cheng, Keqing He, Shanmei Liu, Zaiwen Feng

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Discovering Graph Differential Dependencies.

Yidi Zhang, Selasi Kwashie, Michael Bewong, Junwei Hu, Arash Mahboubi, Xi Guo, Zaiwen Feng

Proceedings of the Databases Theory and Applications, 2023

2022

Machine Learning in Precision Agriculture: A Survey on Trends, Applications and Evaluations Over Two Decades.

Sarah Condran, Michael Bewong, Md Zahidul Islam, Lancelot Maphosa, Lihong Zheng

IEEE Access, 2022

Towards Efficient Discovery of Target High Utility Itemsets.

Vincent Mwintieru Nofong, Priscilla Owiredu Okai, Hamidu Abdel-Fatao, Selasi Kwashie, Michael Bewong, John Wondoh

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

<i>BDF</i>: A new decision forest algorithm.

Md. Nasim Adnan, Ryan H. L. Ip, Michael Bewong, Md Zahidul Islam

Inf. Sci., 2021

2019

Privacy preserving serial publication of transactional data.

Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li

Inf. Syst., 2019

Linking Graph Entities with Multiplicity and Provenance.

Jixue Liu, Selasi Kwashie, Jiuyong Li, Lin Liu, Michael Bewong

CoRR, 2019

A relative privacy model for effective privacy preservation in transactional data.

Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li, Kim-Kwang Raymond Choo

Concurr. Comput. Pract. Exp., 2019

2017

Utility Aware Clustering for Publishing Transactional Data.

Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017