Italy
+39 0223992784
carlo.vercellis@polimi.it
Vercellis, Carlo
Current position in Politecnico di Milano School of Management
Full Professor
Core Faculty
Educational background
MSc Course(s): Mathematics, Università degli Studi di Milano, 1978
Phd
Academic and research areas
MSc Course(s): Business Intelligence And Data Mining
MIP Academic area: Quantitative Methods (QM)
Research area: Applied Economics
Other information
Council Member of INFORMS- The Institute for Operations Research and the Management Sciences from 2006 (Informs – Artificial Intelligence & Data Mining)
Publications
2005 VERCELLIS C., "Business intelligence. Modelli matematici e sistemi per le decisioni", McGraw-Hill, Pagg. 1-410 VERCELLIS C., "Business intelligence, un’opportunità da sfruttare", PubblicA, Pagg. 68-69, N° 5.
2006 VERCELLIS C., "Modelli e decisioni", Mc Graw Hill, Pagg. 1-339 VERCELLIS C., orsenigo c., "A Bayesian stopping rule for greedy randomized procedures", Springer, Journal of Global Optimization, Pagg. 365-377, N° 36. VERCELLIS C., "Come migliorare le decisioni: metodologie di business intelligence per essere più efficaci e tempestivi.", IDG, Computerworld, Pagg. 30-33, N° 25-1.
2007 VERCELLIS C., felici g., "Mathematical methods for knowledge discovery and data mining", Idea Group, Hershey, New York, Pagg. 1-367. VERCELLIS C., felici g., "Mathematical Methods for Learning and Data Mining", Springer, COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Pagg. 191-193, Vol. 38. VERCELLIS C., orsenigo c., "Accurately learning from few examples with a polyhedral classifier", Springer, COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Pagg. 235-247, Vol. 38. VERCELLIS C., "Business intelligence e competitività", IDG, Milano, Computerworld, Pagg. 22-23, N° 40.
2008 C. VERCELLIS, 'Ottimizzazione. Teoria, metodi, applicazioni.', McGraw-Hill MILANO, Pagg. 1-480.
2009 C. Vercellis, 'Business intelligence. Data mining and optimization for decision making', John Wiley Chichester, Pagg. 1- 418.

