Workflows for bringing data science on the cloud/edge computing continuum

Autor: Dazzi P., Grossi V., Trasarti R.

Publikováno v: SEBD 2022-The 30th Italian Symposium on Advanced Database Systems, pp. 125–132, Tirrenia (PI), Italy, 19-22/06/2022

Research infrastructures play a crucial role in the development of data science. In fact, the conjunction of data, infrastructures and analytical methods enable multidisciplinary scientists and innovators to extract knowledge and to make the knowledg

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Towards in-memory sub-trajectory similarity search

Autor: Alamdari I., Nanni M., Trasarti R., Pedreschi D.

Publikováno v: EDBT/ICDT 2020 Joint Conference-International Workshop in Big Mobility Data Analytics, Copenhagen, Denmark, 30th March-2nd April, 2020
info:cnr-pdr/source/autori:Alamdari I.; Nanni M.; Trasarti R.; Pedreschi D./congresso_nome:EDBT%2FICDT 2020 Joint Conference-International Workshop in Big Mobility Data Analytics/congresso_luogo:Copenhagen, Denmark/congresso_data:30th March-2nd April, 2020/anno:2020/pagina_da:/pagina_a:/intervallo_pagine

Spatial-temporal trajectory data contains rich information aboutmoving objects and has been widely used for a large numberof real-world applications. However, the complexity of spatial-temporal trajectory data, on the one hand, and the fast collectio

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SoBigData - VA e-Infrastructure service provision and operation report 1

Autor: Trasarti R., Pagano P., Falchi C., Grossi V., Rapisarda B.

Publikováno v: Project report, SoBigData, Deliverable D7.1, 2017

The deliverable present the status of the SoBigData platform as an evolving e-infrastructure where the partners are continuosly adding new contents and improving the presentation of them. The virtual research enviroments (VREs) already integrated wil

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https://openportal.isti.cnr.it/doc?id=people______::57a8c45ad867f2bd7ed8d57a274ac81f

PETRA - The framework for individual mobility pattern discovery and mobility diaries/activity model

Autor: Nanni M., Trasarti R., Gabrielli L., Romano V.

Publikováno v: Project report, PETRA, Deliverable D3.4, 2016

This document accompanies deliverable D3.4, which contains the software modules implementing the methods that form the core of the Mobility Pattern Mining module within the PETRA architecture, as presented in D2.2, devoted to deal with GPS and mobile

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PETRA - Transit monitor for detecting changes in predictions

Autor: Nanni M., Trasarti R., Romano V.

Publikováno v: Project report, PETRA, Deliverable D5.4, 2016

This document presents the algorithms developed within PETRA to monitor the performances of the main predictive models built in the project, in order to provide feedbacks and possibly trigger updates or re-computation of the models. The algorithms ar

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