Robust datamining

Uwe, Aickelin (2017) Robust datamining. In: 4th Asia Pacific Conference on Advanced Research (APCAR - Mar, 2017), 4-5 March 2017, Melbourne, Australia.

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Our long-term research goal is to develop datamining methodologies that are robust to changes in data and uncertainty. By robust we mean solutions remain ‘optimal’ when things change or are easily repaired. Broadly, this robustness can be achieved in two ways: One, by having ‘slack’ in the solution or two, by constructing the solution such that is easily repairable, e.g. failures are isolated.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Proceedings published by Asia Pacific Institute of Advanced Research. ISBN 9780995398009 / ISSN 2207-2799
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Computer Science
University of Nottingham, UK > Faculty of Science > School of Computer Science
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Depositing User: Aickelin, Professor Uwe
Date Deposited: 15 Nov 2017 08:54
Last Modified: 04 May 2020 18:36

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