{"id":578,"date":"2019-12-13T16:29:54","date_gmt":"2019-12-13T15:29:54","guid":{"rendered":"http:\/\/dbdmg.polito.it\/dbdmg_web\/?page_id=578"},"modified":"2025-01-10T16:03:11","modified_gmt":"2025-01-10T15:03:11","slug":"research","status":"publish","type":"page","link":"https:\/\/dbdmg.polito.it\/dbdmg_web\/research\/","title":{"rendered":"Research"},"content":{"rendered":"\n

Research Activities<\/h1>\n\n\n

The DataBase and Data Mining Group is a research group of the\u00a0Department of Control and Computer Engineering<\/a>\u00a0of the\u00a0Politecnico di Torino<\/a>.\u00a0The interests of the group span over all aspects of Data Science and Machine Learning<\/strong>.<\/p>\n\n\n

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.<\/p>\n<\/div>\n\n

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Use the buttons below to discover more. <\/p>\n\n\n\n

Explainability<\/a><\/div>\n\n
Knowledge-Guided DL<\/a><\/div>\n\n
Finance<\/a><\/div>\n\n
NLP<\/a><\/div>\n\n
Concept Drift<\/a><\/div><\/div>\n\n\n\n
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Data Science in Academy <\/h2>\n\n\n\n

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.<\/p>\n\n\n\n

Reading Group<\/h3>\n\n\n\n

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<\/strong>.
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.<\/p>\n\n\n\n

Find the talks<\/a><\/div><\/div>\n\n\n\n

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Machine Learning @ PolitTO<\/h3>\n\n\n\n

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

For more details, visit the team’s website<\/a>.<\/p>\n<\/div>\n\n\n\n

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Data Science Lab Environment<\/h3>\n\n\n\n

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.<\/p>\n\n\n\n

Project code<\/a><\/p>\n<\/div>\n\n\n\n

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Research Bites<\/h3>\n\n\n\n

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<\/em>. The goal of RB is to disseminate cutting-edge research topics, in short, high-level pills. <\/p>\n<\/div>\n<\/div><\/div>\n<\/div>\n\n\n

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Previous Research<\/h2>\n\n\n\n

The following is a comprehensive list of research and projects carried on during the years.<\/p>\n\n\n