Politecnico di Torino
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Politecnico di Torino
Academic Year 2007/08
01KRZHR, 01KRZBV, 01KRZHT
Data warehousing and data mining
Master of science-level of the Bologna process in Computer And Communication Networks Engineering - Torino
Master of science-level of the Bologna process in Information And Communication Technologies Engineering - Torino
Master of science-level of the Bologna process in Computer Engineering - Torino
Teacher Status SSD Les Ex Lab Tut Years teaching
Chiusano Silvia Anna ORARIO RICEVIMENTO A2 ING-INF/05 3.6 1 0.4 0 4
SSD CFU Activities Area context
ING-INF/05 5 C - Affini o integrative Discipline ingegneristiche
Objectives of the course
The course covers the basic topics of analytical processing in database systems. It deals with data warehouse design principles, physical access structures, physical data warehouse design, and OLAP querying. Most relevant data mining techniques, i.e. association rule mining, classification, and clustering are covered, also introducing current trends and most recent research results in the area.
Laboratory activity is devoted to the evaluation of the analytical processing features of the most popular commercial DBMSs.
Prerequisites
06AFQ Database systems
Syllabus
- Data warehouse systems
o data warehouse architecture
o star model, multidimensional model
o bitmap and join indexes, materialized views
o data warehouse conceptual, logical and physical design
o OLAP analysis, SQL extensions for OLAP
- Data mining
o data preparation, discretization
o association rule mining
o classification
o clustering
- User profiling and web mining
Bibliography
M. Golfarelli, S. Rizzi 'Data Warehouse: Teoria e pratica della progettazione', McGraw-Hill, 2002.
J. Han, M. Kamber 'Data Mining: Concepts and Techniques', Morgan Kaufmann, 2001.
D. Hand, H. Mannila, P. Smyth, 'Principles of Data Mining', MIT Press, 2001.
Revisions / Exam
oral examination

Programma definitivo per l'A.A.2010/11
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