Mohamed Elhassan Seliaman

Mohamed Elhassan Seliaman is an Assistant Professor at the Department of Information Systems, College of Computer Science and Information Technology, King Faisal University, Saudi Arabia. He holds B.Sc. (First Class honors) in Mathematics and Computer Science from the Faculty of Mathematical Sciences, University of Khartoum, Sudan. He has taught at University of Khartoum in Sudan, King Fahd University of Petroleum & Minerals, and King Faisal University, Saudi Arabia. His research interests include Decisions Support Systems, Machine Learning, Computer simulation, supply chain management, operations and information management, operations research, information systems, applied statistics, and computer-human interaction. His research work is published inInternational Journal of Production Economics, Elsevier, Applied Mathematics and Computation, Elsevier, Transportation Research Part E: Logistics and Transportation Review, Elsevier, Journal of Quality Measurement and Analysis, Advanced Materials Research, and Advances in Decision Sciences.

Publications

Web Usage Mining and the Challenge of Big Data: A Review of Emerging Tools and Techniques
Web Usage Mining and the Challenge of Big Data: A Review of Emerging Tools and Techniques
Abubakr Gafar Abdalla, Tarig Mohamed Ahmed, Mohamed Elhassan Seliaman. © 2016. 30 pages.
The web is a rich data mining source which is dynamic and fast growing, providing great opportunities which are often not exploited. Web data represent a real challenge to...
Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence
Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence
Noor Zaman, Mohamed Elhassan Seliaman, Mohd Fadzil Hassan, Fausto Pedro Garcia Marquez. © 2015. 500 pages.
Big data is a well-trafficked subject in recent IT discourse and does not lack for current research. In fact, there is such a surfeit of material related to big data—and so much...
Web Usage Mining and the Challenge of Big Data: A Review of Emerging Tools and Techniques
Web Usage Mining and the Challenge of Big Data: A Review of Emerging Tools and Techniques
Abubakr Gafar Abdalla, Tarig Mohamed Ahmed, Mohamed Elhassan Seliaman. © 2015. 30 pages.
The web is a rich data mining source which is dynamic and fast growing, providing great opportunities which are often not exploited. Web data represent a real challenge to...