- Docente: Claudio Sartori
- Credits: 6
- SSD: ING-INF/05
- Language: Italian
- Moduli: Claudio Sartori (Modulo 1) Claudio Sartori (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Computer Engineering (cod. 0937)
Learning outcomes
Introduction of the main problems related to data analysis, in order to discover hidden relationships and information useful for strategic decisions. The entire process of discovery knowledge is discussed, including objective definition, main techniques of data preparation and data mining algorithms
Course contents
Process of knowledge discovery
- definition of objectives
- selection of data sources
- filtering, reconciliation and data transformation
- data mining
- validation and presentation of the results
- classification with decision trees, neural networks and other algorithms
- association rules
- clustering/segmentation
Examples of use of commercial data mining systems
Architectures of systems with data mining components
Standardization of data mining activities with PMML
Readings/Bibliography
Tan, Steinbach, Kumar, "Introduction to Data Mining", Addison-Wesley, 2005. ISBN : 0321321367
Teaching methods
Main activities are in class. Case studies are also proposed for the solution with open-source software.
Assessment methods
Oral examination; students can also present their own projects, previously agreed with the teacher.
Teaching tools
Notes provided by the teacher. Laboratory activity with open-source tools.
Links to further information
http://www-db.deis.unibo.it/~csartori/didattica/03data_mining/00data_mining.html
Office hours
See the website of Claudio Sartori