@inproceedings { , title = {Robust datamining}, abstract = {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.}, conference = {4th Asia Pacific Conference on Advanced Research (APCAR - Mar, 2017)}, journal = {4th Asia Pacific Conference on Advanced Research (APCAR- MAR 2017), Melbourne, Australia}, note = {Estimated date of acceptance. Will confirm date of acceptance with author. Will have to contact publishers for permission to deposit open access version. Permiision for open access given by publishers. KJB 15.11.2017 School:C-Eng1,}, organization = {Melbourne, Australia}, publicationstatus = {Published}, url = {https://nottingham-repository.worktribe.com/output/848679}, year = {2017}, author = {Uwe, Aickelin} }