Pubblicazioni

“It could be worse, it could be raining”: Reliable automatic meteorological forecasting for holiday planning  (2019)

Autori:
Cristani, M.; Domenichini, F.; Tomazzoli, C.; Zorzi, Margherita
Titolo:
“It could be worse, it could be raining”: Reliable automatic meteorological forecasting for holiday planning
Anno:
2019
Tipologia prodotto:
Contributo in atti di convegno
Tipologia ANVUR:
Contributo in Atti di convegno
Lingua:
Inglese
Formato:
Elettronico
Nome rivista:
LECTURE NOTES IN COMPUTER SCIENCE
ISSN Rivista:
0302-9743
N° Volume:
11606
Titolo del Convegno:
32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019
Luogo:
Graz, Austria
Periodo:
July 9-11, 2019
Editore:
Springer Verlag Germany
Casa editrice:
Springer Verlag Germany
ISBN:
978-303022998-6
Intervallo pagine:
3-11
Parole chiave:
Automated Reasoning, Hybrid Reasoning, Defeasible Logic, Labelled Deduction System, SpinDLE
Breve descrizione dei contenuti:
Weather forecasting is a logical process that consists in evaluating the predictions provided by a set of stochastic models, compare these and take a conclusion about the weather in a given area and a given interval of time. Meteorological forecasting provides reliable predictions about the weather within a given interval of time. The automation of the forecasting process would be helpful in a number of contexts. For instance, when forecasting about underpopulated or small geographic areas is out of the human forecasters’ tasks but is central, e.g., for tourism. In this paper, we start to deal with these challenging tasks by developing a defeasible reasoner for meteorological forecasting, which we evaluate against a real-world example with applications to tourism and holiday planning.
Pagina Web:
https://link.springer.com/chapter/10.1007/978-3-030-22999-3_1
Id prodotto:
107540
Handle IRIS:
11562/992862
ultima modifica:
13 marzo 2024
Citazione bibliografica:
Cristani, M.; Domenichini, F.; Tomazzoli, C.; Zorzi, Margherita, “It could be worse, it could be raining”: Reliable automatic meteorological forecasting for holiday planning in «LECTURE NOTES IN COMPUTER SCIENCE» vol. 11606 Springer Verlag Germany  in Proceedings of 32nd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2019)Springer Verlag GermanyAtti di "32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019" , Graz, Austria , July 9-11, 2019 , 2019pp. 3-11

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo IRIS

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