DataBase and Data Mining Group

Research

Research Activities

The DataBase and Data Mining Group is a research group of the Department of Control and Computer Engineering of the Politecnico di Torino. The interests of the group span over all aspects of Data Science and Machine Learning.

Relevant topics for the group include, but are not limited to, the following areas: Explainability and Fairness in Machine Learning, Finance and Quantitative Trading, Natural Language Processing, Concept Drift Detection, Unsupervised Learning, Time series analytics, and stream processing, Sensor-based data analytics, Smart Cities, Big Data Processing and Analytics, Data Warehousing and Data Mining.

Use the buttons below to discover more.

Explainability
Knowledge-Guided DL
Finance
NLP
Concept Drift

Data Science in Academy

We understand the importance of exposing students as early as possible to Data Science and Machine Learning topics. We thus propose several initiatives that let students learn by doing.

Reading Group

We are glad to announce the 2025 Edition of the DBDMG Reading Group! In the second semester, talks occur every Friday from 17:00 to 18:00.
We invite you to join us in presence. If you cannot be there in person, we’ve got you covered. We stream the talks via Zoom.

Find the talks

Machine Learning @ PolitTO

MAchine Learning At poliTO (MALTO) is a student team with the goal to take part in international data science shared tasks, projects, and competitions.

For more details, visit the team’s website.

Data Science Lab Environment

Data Science Lab Environment (DSLE) is a web platform to host data science competitions. It is currently used in the course Data Science Lab: process and methods to assess students’ abilities in solving classification, regression tasks.

Project code

Research Bites

Research Bites, a series of short research talks and seminaries held by PhD students and international faculty members for students of the course Data Science Lab: process and methods. The goal of RB is to disseminate cutting-edge research topics, in short, high-level pills.

Previous Research

The following is a comprehensive list of research and projects carried on during the years.