Taming Information Overload

Supervisor
Elisa Quintarelli - Politecnico di Milano
Date and time
Tuesday, March 27, 2018 at 11:00 AM - Sala verde
Programme Director
External reference
Publication date
February 28, 2018
Department
Computer Science  

Summary

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





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