Big Data Archives – Data Science Lab at Politecnico di Milano

PERISCOPE: the EU project on socio-economic and behavioral impacts of the COVID-19 pandemic

November 3, 2020

Starting today, our team at the Data Science Lab Polimi will participate to the PERISCOPE European project. PERISCOPE will investigate the broad socio-economic and behavioral impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks. The European Commission approved PERISCOPE (PAN-EUROPEAN RESPONSE TO THE IMPACTS OF COVID-19 AND FUTURE…

DATA-LIFE PROGRAM 2020

November 6, 2019

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| Big Data, Data Science

DATA-LIFE is an interdisciplinary education experience involving students and faculty from NYU-CUSP (Center for Urban Science + Progress of the New York University), from Computer Science & Engineering (Data Science Lab) and Design at Politecnico di Milano. Four to six students, from NYU and from Politecnico di Milano, will join together to solve problems within the…

Challenges in Data-Driven Genomic Computing

January 27, 2019

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| Big Data

Workshop in Como, Villa del Grumello – March 6-8 2019 Organized by the Advanced ERC Project 693174 “GeCo” – data-driven Genomic Computing The Workshop brings together researchers who are contributing to genomic computing from different perspectives, combining computer science, biology and medical science, with a strong interdisciplinary approach. Participants are hosted in the historical Villa…

FaST – Fashion Sensing Technology

November 6, 2017

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| Big Data, Web Mining

FaST – Fashion Sensing Technology is a project meant to design, experiment with, and implement an ICT tool that could monitor and analyze the activity of Italian emerging Fashion brands on social media. FaST aims at providing SMEs in the Fashion industry with the ability to better understand and measure the behaviours and opinions…

A Tool for Extracting Emerging Knowledge from Social Media

April 4, 2017

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| Big Data, Web Mining

Knowledge in the world continuously evolves, and ontologies are largely incomplete for what concerns low-frequency data, belonging to the so-called long tail. Socially produced content is an excellent source for discovering emerging knowledge: it is huge, and immediately reflects the relevant changes which hide emerging entities. We propose a method and a tool for discovering…

Integrating Modeling Languages and Web Logs for Enhanced User Behavior Analytics

February 23, 2017

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| Big Data, Modeling, Web Mining

While basic Web analytics tools are widespread and provide statistics about Web site navigation, no approaches exist for merging such statistics with information about the Web application structure, content and semantics. We demonstrate the advantages of combining Web application models with runtime navigation logs, at the purpose of deepening the understanding of users behaviour. We…