Topic:
The research theme is concerned with high-performance, scalable, distributed data management technologies and machine learning techniques to support big data analytics and data science for massive data exploration. Research topics include variants of support vector machines, other techniques for classification and regression, nonlinear dimensionality reduction techniques, integration of various heterogeneous data sources, as well as their application to relational marketing, social networks, biolife science, business intelligence, text and sentiment analysis.
DIG professors involved:
Carlo Vercellis, Carlotta Orsenigo