Taming Information Overload

Taming Information Overload
Relatore:  Elisa Quintarelli - Politecnico di Milano
  martedì 27 marzo 2018 alle ore 11.00 Sala verde
In the field of Big Data and Analytics my research has been devoted to reducing the data overload and making sense of data.
In this talk I will discuss first personalization by knowledge filtering: the adaptation in this case consists of providing the user only with the portion of knowledge that is relevant for the situation that s/he is experiencing, thus favoring easier access to what the user really needs.
Then, I will show a new vision about database exploration, that is, designing systems able to assist also inexperienced or casual users - the so-called data enthusiasts - who need the support of a sophisticated system that guides them in the inspection of large datasets, starting from simple input queries and refining them.

Contact person: Franco Fummi


Referente esterno
Data pubblicazione
28 febbraio 2018

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