DataBase and Data Mining Group

DataBase and Data Mining Group

Politecnico di Torino

Teaching

Research

Theses

People

Recent Courses

Explainable and trustworthy AI (2023/2024)

Business Intelligence per Big Data

Distributed architectures for big data processing and analytics (2023/2024)

Data Science E Tecnologie Per Le Basi Di Dati (2023/2024)

Data Science And Database Technology (2023/2024)

Data Science Lab: process and methods (2023/24)

Big Data: Architectures and Data Analytics (2023/2024)

Data Management and Visualization (2023-24)

Latest from Research

Knowledge-Guided Machine learning workshop

DBDMG Organizers: Simone Monaco, Daniele Apiletti On September 22, 2023, we are organizing the first European Knowledge-Guided Machine Learning workshop, to be held in Turin, Italy in ECML-PKDD 2023. You can find all the details of workshop on https://kgml2023.github.io/. Call for papers Authors are invited to submit articles combining aspects …
Read More "Knowledge-Guided Machine learning workshop"

Research Bites (2nd Edition)

Research is formalized curiosity. It is poking and prying with a purpose. – Zora Neale Hurston On January 13 and 14, 2022, we are helding a series of short seminars (“bites”) on recent research topics.Seminars are part of the “Data Science Lab: Process and methods” master degree course.
Read More "Research Bites (2nd Edition)"

Posters at “Dati, AI e Robotica @Polito”

Several members of the group are involved in the workshop “Dati, AI e Robotica @Polito” held at Politecnico di Torino on September 29, 2021. Elena Baralis will give a talk on “DATI, AI e ROBOTICA: opportunitĂ  e sfide”, Danilo Giordano is in the organizing committee and Eliana Pastor and Giuseppe …
Read More "Posters at “Dati, AI e Robotica @Polito”"

DivExplorer

DivExplorer is a tool for analyzing datasets and finding subgroups of data where a classifier behaves differently than on the overall data.
Read More "DivExplorer"

EBAnO – Explaining BlAck-box mOdels

EBAnO (Explaining BlAck-box mOdels) is a wide research project focused on the explanation of Deep Convolutional Artificial Intelligence (xAI) models.
Read More "EBAnO – Explaining BlAck-box mOdels"