BigTargets 2015 - International Workshop on Big Multi-Target Prediction

Multi-target prediction (MTP) is concerned with the simultaneous prediction of multiple target variables of diverse type, such as binary, nominal, ordinal, real-valued or even mixed. Often, these multiple target variables are related either explicitly, for example they could represent a ranking, be nodes of a graph or have a spatial, temporal or spatiotemporal relationship, or implicitly, for example via hidden mutual exclusion or parent-child relationships.
While some progress in developing efficient and effective MTP methods has been achieved, we are still far from being able to successfully apply them to big data, an area which is expected to bring new and smart growth opportunities for Europe. Big data are often described via a number of "Vs", the most important ones for research being Volume, Velocity, Variety and Veracity. Complementary to existing big data efforts that address the "Vs" of input variables, the BigTargets workshop will focus on the "Vs" of the target (output) variables.