The SmartData@PoliTO center focuses on Big Data technologies, Data Science and Machine Learning approaches.
We blend interdisciplinary people and competences from different domains to provide cross-domain solutions to the widest spectrum of knowledge discovery challenges, by leveraging advanced expertise in data science, from data management, to data modeling, analytics, and engineering.
We are a well-recognized center where experts in methodologies and domain experts from various disciplines work in a single space, facing both theoretical problems and helping companies toward applications.

Open Datasets & Libraries

On Scalability of Electric Car Sharing in Smart Cities

In this page we provide the results of the simulations and the script to replicate the figures of the paper “On Scalability of Electric Car Sharing in Smart Cities” submitted to  IEEE International Smart Cities Conference (ISC2 2020). The cost model allows one to interactively observe what happens by changing the cost values. Dowload Jupyter […]

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Open Datasets & Libraries

An Open Dataset of Operational Mobile Networks

This repository contains data and information regarding the paper: Ali Safari Khatouni and Martino Trevisan and Danilo Giordano and Mohammad Rajiullah and Stefan Alfredsson and Anna Brunstrom and Cise Midoglu and Ozgu Alay, “An Open Dataset of Operational Mobile Networks”, submitted in the 18th ACM International Symposium on Mobility Management and Wireless Access (MobiWac 2020) […]

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SmartTalks

Expectation Propagation for the diluted Bayesian classifier

Presenter: Mirko PieropanWednesday, July 29th, 2020 16:30Location: Microsoft Teams – click here to join Mirko Pieropan: Expectation Propagation for the diluted Bayesian classifier Neural networks can learn a classification rule from examples by adapting their synaptic weights and are able to generalize to previously unseen data. We consider a diluted perceptron learning a classification rule […]

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Open Datasets & Libraries

α-MON: Anonymized Passive Traffic Monitoring

α-MON is a flexible tool for privacy-preserving packet monitoring. It replicates input packet streams to different consumers while anonymizing values according to flexible policies that cover all protocol layers. Beside classic anonymization mechanisms such as IP address obfuscation, α-MON supports α-anonymization, a novel solution to obfuscate values that can be uniquely traced back to limited […]

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