Learning prediction models from streaming network data.

Dipartimento di Informatica, Università degli Studi “Aldo Moro” - Bari
September 19 2017
Position Type
Full Time
Organization Type

Nowadays, in machine learning (ML) and data mining (DM) we are increasingly often facing predictive modelling tasks involving one or several of the following complexity aspects: (a)structured data as input or output of the prediction process, (b)very large/massive datasets, with many examples and/or many input/output dimensions, where data may be streaming at high rates, (c)incompletely/partially labelled data, and (d)data placed in a spatio-temporal or network context.

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