- Docente: Elena Morotti
- Credits: 4
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
International Relations (cod. 9084)
Also valid for Second cycle degree programme (LM) in Politics Administration and Organization (cod. 9085)
Learning outcomes
Workshops are designed to provide students with transversal skills that can prove useful in their future careers. The objective of the workshop is to help students to practice skills through application of information technology, data analysis, decision-making techniques (e.g. simulation) in complex organizations.
Course contents
WS4 - BIG DATA
1) Introduction to Data Mining (main applications, basic algorithms)
2) Data Preparation (feature extraction, data cleaning, data reduction and transformation)
3) Similarity and distances (multidimensional data, text/temporal/graph similarity measures, supervised similarity functions)
4) Association Pattern Mining (association rules, frequent itemset mining algorithms and alternative models)
Readings/Bibliography
1) Notes from the teacher
2) Aggarwal, C. C. (2015). Data mining: the textbook. Springer.
3) Zaki, M. J., Meira Jr, W., & Meira, W. (2014). Data mining and analysis: fundamental concepts and algorithms. Cambridge University Press.
Teaching methods
Lectures and exercises.
The class attendance is mandatory.
Assessment methods
Students are asked to write a report about the exercises assigned during the course.
Teaching tools
Slides from the teacher.
Office hours
See the website of Elena Morotti