Výsledky vyhledávání

A general methodology for building multiple aspect trajectories

Autor: Lettich F., Pugliese C., Renso C., Pinelli F.

Publikováno v: SAC 2023-38th ACM/SIGAPP Symposium on Applied Computing, pp. 515–517, Tallinn, Estonia, 27-31/03/2023

The massive use of personal location devices, the Internet of Mobile Things, and Location Based Social Networks, enables the collection of vast amounts of movement data. Such data can be enriched with several semantic dimensions (or aspects), i.e., c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______9984::b3899be005ffa58a3a4ac6c5790aa716
https://openportal.isti.cnr.it/doc?id=people______::06f650b6dc1c99e2e56504982bcf38cb

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Akademický článek

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Mobility Data Mining: from Technical to Ethical (Dagstuhl Seminar 22022)

Autor: Berendt B., Matwin S., Renso C., Meissner F., Pratesi F., Raffaeta A., Rockwell G.

Publikováno v: ISTI Research report, pp.35–66, 2022

This report documents the program and the outcomes of Dagstuhl Seminar 22022 "Mobility Data Analysis: from Technical to Ethical" that took place fully remote and hosted by Schloss Dagstuhl from 10-12 January 2022. An interdisciplinary team of 23 rese

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A federated cloud solution for transnational mobility data sharing

Autor: Carlini E., Chevalier T., Dazzi P., Lettich F., Perego R., Renso C., Trani S.

Publikováno v: SEBD 2022-30th Italian Symposium on Advanced Database Systems, pp. 586–592, Tirrenia, Pisa, Italy, 19-22/06/2022

Nowadays, innovative digital services are massively spreading both in the public and private sectors. In this work we focus on the digital data regarding the mobility of persons and goods, which are experiencing exponential growth thanks to the signi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______9984::09d32b97b94f29f6dde4988552e1bc19
https://openportal.isti.cnr.it/doc?id=people______::14bcea321d0d658a2513b20c867ff876

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Predicting vehicles parking behaviour for EV recharge optimization

Autor: Monteiro De Lira V., Pallonetto F., Gabrielli L., Renso C.

Publikováno v: SEBD 2022-30th Italian Symposium on Advanced Database Systems, pp. 199–206, Tirrenia, Pisa, Italy, 19-22/06/2022

The global electric car sales in 2020 continued to exceed the expectations climbing to over 3 millions and reaching a market share of over 4%. However, uncertainty of generation caused by higher penetration of renewable energies and the advent of Ele

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______9984::48b67529369a4286574dbf14a964b415
https://openportal.isti.cnr.it/doc?id=people______::8658caf3ab534c2fd57b58f5834219d1

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Predicting vehicles parking behaviour in shared premises for aggregated EV electricity demand response programs

Autor: Monteiro De Lira V., Pallonetto F., Gabrielli L., Renso C.

Publikováno v: ISTI Research reports, 2021

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7f72b7ca2e33a2406d6c9819ad8dfb66
https://publications.cnr.it/doc/458023

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PTRAIL - A python package for parallel trajectory data preprocessing

Autor: Haidri S., Haranwala Y. J., Bogorny V., Renso C., Prado Da Fonseca V., Soares A.

Publikováno v: ISTI Research reports, 2021

Trajectory data represent a trace of an object that changes its position in space over time. This kind of data is complex to handle and analyze, since it is generally produced in huge quantities, often prone to errors generated by the geolocation dev

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https://arxiv.org/abs/2108.13202

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Preface

Autor: Tserpes K., Renso C., Matwin S.

Preface of the proceedings of the First International Workshop, MASTER 2019 Held in Conjunction with ECML-PKDD 2019 Würzburg, Germany, September 16, 2019 Proceedings

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https://openportal.isti.cnr.it/doc?id=people______::6450b5ff0a90c4a064934b9eba0a24f3

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Akademický článek

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Vista: a visual analytics platform for semantic annotation of trajectories

Autor: Soares A., Rose J., Etemad M., Renso C., Matwin S.

Publikováno v: EDBT 2019-22nd International Conference on Extending Database Technology, pp. 570–573, Lisbon, Portugal, March 26-29, 2019
info:cnr-pdr/source/autori:Soares A.; Rose J.; Etemad M.; Renso C.; Matwin S./congresso_nome:EDBT 2019-22nd International Conference on Extending Database Technology/congresso_luogo:Lisbon, Portugal/congresso_data:March 26-29, 2019/anno:2019/pagina_da:570/pagina_a:573/intervallo_pagine:570–573

Most of the trajectory datasets only record the spatio-temporal position of the moving object, thus lacking semantics and this is due to the fact that this information mainly depends on the domain expert labeling, a time-consuming and complex process

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::42c3784e51576184e868c73fea6ab1d4
https://publications.cnr.it/doc/424184

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