Najbliższe seminarium Katedry SI odbędzie się w poniedziałek 3 stycznia o godz. 15:15 w sali 230.
Temat: "Trade-offs between Agility and Reliability of Predictions in Dynamic Social Networks Used to Model Risk of Microbial Contamination of Food", Prelegent: dr Artur Dubrawski, Auton Lab, Carnegie Mellon University, USA
This talk considers trade-offs between agility and reliability of predictions arising due to sparseness of data modeled with dynamic social networks. We use real field data from food safety domain to illustrate the discussion. We model food production facilities as one type of entities in a social network evolving in time. Another type of entities denotes various specific strains of Salmonella. Two entities are linked in the graph if a microbial test of food sample conducted at
the specific food facility over specific period of time turns out positive for the particular pathogen. We use a computationally efficient latent space model to predict future occurrences of pathogens at individual facilities. Empirical results indicate predictive utility of the proposed representation. However, sparseness of data limits the attainable agility of predictions. We identify exploiting recency of data and using the known patterns in it, such as seasonality, as plausible means of battling the challenge of sparseness.
Zapraszam pracowników, dyplomantów i studentów
prof. dr Witold Kosiński,
kierownik Katedry SI