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

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.