Inizio della pagina -
Logo DISCO
|
Visita la Versione ad elevata leggibilità
|
Vai al Contenuto della pagina
|
Vai alla Fine dei contenuti
|
Vai al Menu Principale
|
Vai alla Barra di navigazione (sei in)
|
Vai al Menu di navigazione (albero)
|
Vai alla Lista dei comandi
|
Vai alla Lista degli approfondimenti
|
Vai al Menu inferiore
|
Logo Ateneo
   
Didattica
Business intelligence

Docente: F. Stella

Crediti: 6 CFU

Descrizione e Programma del Corso

Knowledge:

The course aims to provide the student with strong skills in the design and development of computational models, algorithms and software solutions for Business Intelligence. The course will discuss several industrial case studies where unstructured data and information are exploited to improve the business wealth and opportunity of a business company. Industrial case studies include: customer profiling and segmentation, cross-selling, intrusions detection, call center management, homeland security, stocks and hedge fund selection, ... The presented methodologies are Text Mining and Web Mining.Skills: The student will acquire specific skills which allow him/her to formulate and to solve several kinds of Business Intelligence problems. Furthermore, the students will be capable to design and to develop computational algorithms and software systems for automatic knowledge extraction from unstructured data (textual data).

Program:

  • 1.Introduction to Business Intelligence
  • 2.Text Mining and Text Mining Tasks
  • 3.Basic WWW Technologies
  • 4.From Textual Information to Numerical Vectors
  • 5.Using Text for Prediction
  • 6.Introduction to Classification
  • 7.Bayesian Decision Theory
  • 8.Nearest Neighborhood
  • 9.Supervised Neural Networks
  • 10.Support Vector Machines
  • 11.Information Retrieval and Text Mining
  • 12.Unsupervised Neural Networks
  • 13.Finding Structure in a Document Collection
  • 14.Looking for Information in Documents
  • 15.Human Behavior on the WEB
  • 16.Commerce on the WEB

Books and material : Teacher's Slides and several WEB Resources

Examination : Software Project and oral discussion

WEB Linkwww.cnds.disco.unimib.it

 

 

Approfondimenti

Google Translate
Translate to English Translate to French Translate to German Translate to Spanish Translate to Chinese Translate to Portuguese Translate to Arabic
Translate to Albanian Translate to Bulgarian Translate to Croatian Translate to Czech Translate to Danish Translate to Dutch Translate to Finnish Translate to Greek Translate to Hindi
Translate to Hungarian Translate to Irish Translate to Japanese Translate to Korean Translate to Norwegian Translate to Polish Translate to Romanian Translate to Russian Translate to Serbian
Translate to Slovenian Translate to Swedish Translate to Thai Translate to Turkish

(C) Copyright 2016 - Dipartimento Informatica Sistemistica e Comunicazione - Viale Sarca, 336
20126 Milano - Edificio U14
redazioneweb@disco.unimib.it - ultimo aggiornamento di questa pagina 25/03/2011