ELEMENTS OF DATA MINING

Academic year 2017/2018 Syllabus of previous years
Official course title ELEMENTI DI DATA MINING
Course code CT0377 (AF:212601 AR:97064)
Modality On campus classes
ECTS credits 6
Degree level Bachelor's Degree Programme
Educational sector code SECS-S/01
Period 1st Semester
Course year 3
Where VENEZIA
Course objectives
The course illustrates the use of basic ideas of computer science to solve real-world problems. The main topics are supervised and unsupervised classification.
Pre-requirements
No specific prerequisites.
Contents
1. Introduction. Machine learning and data mining.
2. Classification.
3. Clustering.
4. Associations.
5. Evaluation of results.
Referral texts
I. H. Witten, E. Frank. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, San Francisco, second edition, 2005. (Selected topics)
Techniques and Applications in Microsoft Office Excel with XLMiner. Wiley, 2nd ed. 2010. (Selected topics)
Additional readings will be indicated during the course.
Type of exam
written
Assessment methods
Data analysis exercise performed with the computer followed by optional oral discussion.
Teaching methods
Conventional.
Teaching language
Italian