Data Mining

Provided by: 

UNIPI

From: 

M.Sc. in Data Science and BI

Sede: 

Polo Fibonacci, University of Pisa

Lecturers: 

Dino PEDRESCHI

Hours: 

96

Exam: 

Y

Educational Goals: 

The formidable advances in computing power, data acquisition, data storage and connectivity have created unprecedented amounts of data. Data mining, i.e., the science of extracting knowledge from these masses of data, has therefore been affirmed as an interdisciplinary branch of computer science. Data mining techniques have been applied to many industrial, scientific, and social problems, and are believed to have an ever deeper impact on society. The course objective is to provide an introduction to the basic concepts of data mining and the process of extracting knowledge, with insights into analytical models and the most common algorithms.

Programme: 

Mining of time series and spatio-temporal data Mining of sequential data and graphs Advanced techniques for classification, clustering and outlier detection Language, standard and architectures of data mining systems Social impact of data mining Data mining and privacy protection Case studies in socio-economic domains (marketing and CRM, mobility and transport, public health, etc.)
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