Algorithmic Methods of Data Mining and Laboratory
Sapienza University of Rome · M.Sc. in Data Science
Overview
This course introduces the main algorithmic techniques of data mining, with applications to semistructured and unstructured data (text, transactions, graphs, information networks).
Students gain both theoretical foundations of data mining and practical experience using programming tools for analysis.
Main objectives
- Learn algorithmic techniques for data mining in diverse domains
- Develop competence with graph mining, search engines, and unsupervised learning
- Acquire hands-on skills with coding and data exploration
Learning outcomes
- Ability to analyze and process unstructured and network data
- Apply algorithmic methods to extract knowledge from complex datasets
- Combine theoretical understanding with programming practice
My work in this course
- Notes & Materials
- Projects