Course catalogue | University of Parma

Professor
Academic discipline: Statistica (SECS-S/01)
Field: Statistico-matematico
Type of training activity: Characterising

36 hours
of face-to-face activities

5 credits

hub: PARMA

course unit
in - - -

lectures timetable unavailable

exam calls

Integrated course unit module: DATA MINING

Learning objectives

The aim of the course is to illustrate the main methods for supervised classification in a data mining framework

Prerequisites

- - -

Course unit content

Logistic regression
Discriminant analysis
Classification trees

Full programme

- - -

Bibliography

Topics 1 and 2:
either
A. AZZALINI – B. SCARPA, Analisi dei dati e data mining. Springer, Milano, 2004, capitolo 2 e capitolo 5;
or
E. STANGHELLINI, Introduzione ai metodi statistici per il credit scoring, Springer, Milano, 2009, capitolo 1, capitolo 3 e capitolo 4.

Topic 3:
S. ZANI – A. CERIOLI, Analisi dei dati e Data Mining per le decisioni aziendali, Giuffrè Editore, Milano, 2007, capitolo XI.

Teaching methods

Lectures and practical work

Assessment methods and criteria

Written exam

Other information

- - -

STATISTICAL MODELS cod. 1000608

Learning objectives

Prerequisites

Course unit content

Full programme

Bibliography

Teaching methods

Assessment methods and criteria

Other information

STATISTICAL MODELS
cod. 1000608