Classification Techniques And Data Mining (2006-2007)

Academic Year of the Course: 
2006-2007
Course: 
EC159
Classification Techniques And Data Mining
Teaching staff: 
Schoier Gabriella
Course Outlines: 
The aim of the course is the introduction of the concept of Data Mining and the presentation of some classification techniques that may usefully used in this framework for solving business problems.
Contents: 
1. Introduzione al Data Mining -Dai dati alle informazioni -Ruolo dell’Information Technology -Il Data Warehouse (cenni) -Differenze tra Data Mining e analisi statistica classica 2. Il processo di Data Mining 3. Introduzione al Web Mining -Il Web Content Mining -Il Web Structure Mining -Il Web Usage Mining 3. Tecniche statistiche e Data Mining 4. L’analisi dei cluster (metodi gerarchici) 5. L’analisi dei cluster (metodi non gerarchici) 6. Gli Alberi decisionali (cenni) 7. Le Reti neurali (cenni) formano parte integrante del corso applicazioni a dati reali con l’utilizzo del linguaggio SAS
Recommended Texts: 
Giudici P., Applied Data Mining Statistical Methods for Business and Industry. McGraw-Hill 2001 Other recommended texts will be suggested during the lectures.
Last update: 12-11-2013 - 16:08