Risultati di ricerca

con K2 Items e Tipo , e con Elenco Pubblicazioni - Publications e K2 Category , e con LORENZO GABRIELLI e Author sono stati trovati i seguenti risultati:

A data driven approach for evaluating foundation skills of adults. (2017, April) Salvatori, E., Gabrielli, L. and Fosca Giannotti. Didamatica 2017.
http://phd.dii.unipi.it/pubblicazioni/item/1673-a-data-driven-approach-for-evaluating-foundation-skills-of-adults-2017,-april-salvatori,-e-,-gabrielli,-l-and-fosca-giannotti-didamatica-2017.html
Furletti, B., Trasarti, R., Cintia, P. and Lorenzo Gabrielli. (2017,April). Discovering and Understanding City Events with Big Data. Journal on Big Data Analytics and Data-Driven Science 2017. MDPI.
http://phd.dii.unipi.it/pubblicazioni/item/1672-furletti,-b-,-trasarti,-r-,-cintia,-p-and-lorenzo-gabrielli-2017,april-discovering-and-understanding-city-events-with-big-data-journal-on-big-data-analytics-and-data-driven-science-2017-mdpi.html
Lulli, A., Gabrielli, L., Dazzi, P., Dell'Amico, M., Michiardi, P., Nanni, M., Ricci, L. (2016, December). Scalable and flexible clustering solutions for mobile phone based population indicators. International Journal of Data Science and Analitics
http://phd.dii.unipi.it/pubblicazioni/item/1671-lulli,-a-,-gabrielli,-l-,-dazzi,-p-,-dell-amico,-m-,-michiardi,-p-,-nanni,-m-,-ricci,-l-2016,-december-scalable-and-flexible-clustering-solutions-for-mobile-phone-based-population-indicators-international-journal-of-data-science-and-analitics.html
Calastri, C., Hess, S., Choudhury, C., Daly, A and L. Gabrielli. (2017, June). Developing mode choice models using semi-ubiquitous data sources: a case study using a smartphone based GPS survey from Italy. TRB.
http://phd.dii.unipi.it/pubblicazioni/item/1670-calastri,-c-,-hess,-s-,-choudhury,-c-,-daly,-a-and-l-gabrielli-2017,-june-developing-mode-choice-models-using-semi-ubiquitous-data-sources-a-case-study-using-a-smartphone-based-gps-survey-from-italy-trb.html
R. Campagni, L. Gabrielli, F. Giannotti , R. Guidotti, F. Maggino and D. Pedreschi: "Extracting Social Indicators from Big Data: an Experience in Measuring Wellbeing", In DATA SCIENCE & SOCIAL RESEARCH (DSSR).
International Conference { Naples, February 17 - 19 2016
http://phd.dii.unipi.it/pubblicazioni/item/1082-r-campagni,-l-gabrielli,-f-giannotti-,-r-guidotti,-f-maggino-and-d-pedreschi-extracting-social-indicators-from-big-data-an-experience-in-measuring-wellbeing-,-in-data-science-social-research-dssr.html
L. Gabrielli, G. Riccardi, L. Pappalardo: "Using retail market Big Data to nowcast Customer Price Index", SIS 2016
http://phd.dii.unipi.it/pubblicazioni/item/1081-l-gabrielli,-g-riccardi,-l-pappalardo-using-retail-market-big-data-to-nowcast-customer-price-index-,-sis-2016.html
Lorenzo Gabrielli, Davide Guido, Fosca Giannotti and Luca Bastiani. A Syntethic Measurement for Political Engagement of Spending: Pilot study to measure performance of local government using Open Government Data.
The Tenth International Conference on Digital Society and eGovernments ICDS 2016. ISSN: 2308-3956, ISBN: 978-1-61208-521-0
http://phd.dii.unipi.it/pubblicazioni/item/1080-lorenzo-gabrielli,-davide-guido,-fosca-giannotti-and-luca-bastiani-a-syntethic-measurement-for-political-engagement-of-spending-pilot-study-to-measure-performance-of-local-government-using-open-government-data.html
Alessandro Lulli, Lorenzo Gabrielli, Matteo Dell’Amico, Pietro Michiardi, Mirco Nanni, Laura Ricci, Patrizio Dazzi. Improving Population Estimation From Mobile Calls: a Clustering Approach. ISCC 2016 The Twenty-First IEEE Symposium on Computers and
http://phd.dii.unipi.it/pubblicazioni/item/1079-alessandro-lulli,-lorenzo-gabrielli,-matteo-dell’amico,-pietro-michiardi,-mirco-nanni,-laura-ricci,-patrizio-dazzi-improving-population-estimation-from-mobile-calls-a-clustering-approach-iscc-2016-the-twenty-first-ieee-symposium-on-computers-and.html
Luca Pappalardo, Maarten Vanhoof, Lorenzo Gabrielli, Zbigniew Smoreda, Dino Pedreschi, Fosca Giannotti. An analytical framework to nowcast well-being using mobile phone data. International Journal of Data Science and Analytics. 2016.
http://phd.dii.unipi.it/pubblicazioni/item/1078-doi-10-1007-s410.html
City users’ classification with mobile phone data
Gabrielli L., Furletti B., Trasarti T., Giannotti F., Pedreschi D.. IEEE BIGDATA2015.
http://phd.dii.unipi.it/pubblicazioni/item/1077-doi-10-1109-bigdata-2015-7363852.html
"Small Area Model-Based Estimators Using Big Data Sources" Marchetti, Giusti, Pratesi, Salvati, Giannotti, Pedreschi, Rinzivillo, Pappalardo, Gabrielli
The timely, accurate monitoring of social indicators, such as poverty or inequality, on a finegrained spatial and temporal scale is a crucial tool for understanding social phenomena and policymaking, but poses a great challenge to official statistics....
http://phd.dii.unipi.it/pubblicazioni/item/587-https-www-researchgate-net-publication-279757030_small_area_model-based_estimators_using_big_data_sources.html

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