Robust datamining
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...
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| Format: | Conference or Workshop Item |
| Published: |
2017
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| Online Access: | https://eprints.nottingham.ac.uk/48066/ |
| _version_ | 1848797683103301632 |
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| author | Uwe, Aickelin |
| author_facet | Uwe, Aickelin |
| author_sort | Uwe, Aickelin |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:07:46Z |
| format | Conference or Workshop Item |
| id | nottingham-48066 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:07:46Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-480662020-05-04T18:36:36Z https://eprints.nottingham.ac.uk/48066/ Robust datamining Uwe, Aickelin 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. 2017-03-05 Conference or Workshop Item PeerReviewed Uwe, Aickelin (2017) Robust datamining. In: 4th Asia Pacific Conference on Advanced Research (APCAR - Mar, 2017), 4-5 March 2017, Melbourne, Australia. |
| spellingShingle | Uwe, Aickelin Robust datamining |
| title | Robust datamining |
| title_full | Robust datamining |
| title_fullStr | Robust datamining |
| title_full_unstemmed | Robust datamining |
| title_short | Robust datamining |
| title_sort | robust datamining |
| url | https://eprints.nottingham.ac.uk/48066/ |