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Open Access research that power business decision making...

Strathprints makes available scholarly Open Access research by the Department of Management Science. This includes research that seeks to develop theory, solution methods and algorithms for confronting solving optimisation and predictive analytics problems arising from real-world situations, such as those arising in manufacturing, logistics, health and energy.

Management Science also explores the application of management science within healthcare organisations, the deployment of data analytics in the creation of risk-based decision support systems, and supply chain risk management.

Explore research outputs by Management Science -- or explore all of Strathclyde's Open Access research...

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Jump to: 2015 | 2013 | 2012
Number of items: 5.

2015

Al Azwari, Sana and Wilson, John N. (2015) Updating OWL2 ontologies using pruned rulesets. In: 11th International Conference on Semantic Systems, 2015-09-16 - 2015-09-17, Vienna University of Economics.

Al Azwari, Sana and Wilson, John N.; Maneth, Sebastian, ed. (2015) Consistent RDF updates with correct dense deltas. In: Data Science. Lecture Notes in Computer Science, 9147 . Springer, GBR, pp. 74-86. ISBN 9783319204239

Al Azwari, Sana and Wilson, John N.; (2015) The cost of reasoning with RDF updates. In: Proceedings of the 9th IEEE International Conference on Semantic Computing (IEEE ICSC 2015). IEEE, Piscataway, New Jersey, United States, pp. 328-331. ISBN 9781479979356

2013

Foley, Christopher Eric and Al Azwari, Sana Mohammad M and Dufton, Mark and Ross, Isla and Wilson, John; Bursa, M. and Khuri, S. and Renda, M.E., eds. (2013) Local pre-processing for node classification in networks : application in protein-protein interaction. In: Information Technology in Bio- and Medical Informatics. Lecture Notes in Computer Science . Springer-Verlag Berlin, Heidelberg, pp. 32-46. ISBN 9783642400926

2012

Foley, Christopher Eric and Al Azwari, Sana Mohammad M and Dufton, Mark and Wilson, John; (2012) Using microenvironments to identify allosteric binding sites. In: 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2012). IEEE, USA, pp. 411-415. ISBN 9781467325592

This list was generated on Sat Jul 31 05:59:48 2021 BST.