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Towards a meaningful analysis of big data enhancing data mining techniques through a collaborative decision making environment

 
: Karacapilidis, N.; Rueping, S.; Tsiliki, G.; Tzagarakis, M.

Helfert, M.; Francalanci, C.; Filipe, J.:
DATA 2012 - Proceedings of the International Conference on Data Technologies and Applications : Rome, Italy, 25-27 July, 2012
SciTe Press, 2012
ISBN: 978-989-8565-18-1
S.141-146
International Conference on Data Technologies and Applications (DATA) <1, 2012, Rome>
Englisch
Konferenzbeitrag
Fraunhofer IAIS ()

Abstract
Arguing that dealing with data-intensive settings is not a technical problem alone, we propose a hybrid approach that builds on the synergy between machine and human intelligence to facilitate the underlying sense-making and decision making processes. The proposed approach, which can be viewed as an innovative workbench incorporating and orchestrating a set of interoperable services, is illustrated through a real case concerning collaborative subgroup discovery in microarray data. Evaluation results, validating the potential of our approach, are also included.

: http://publica.fraunhofer.de/dokumente/N-254286.html