Provided by:
UNIPI, CNR
From:
Master II Livello Big Data Analytics
Sede:
Computer Science Department, Unversity of Pisa
Lecturers:
Mirco NANNI, Franco Maria NARDINI
Semester:
2
Hours:
34
Educational Goals:
The purpose of the course is to introduce the main techniques in data mining and machine learning (including deep learning approaches) for the analysis of temporal data, in particular for time series and spatio-temporal data related to human mobility. The presentation will be supported by several case studies developed with the SoBigData.eu Laboratory.
