Big Data Management And Analytics For Mobility Forecasting In Datacron

Autor: Doulkeridis, C., Pelekis, N., Yannis Theodoridis, Vouros, G. A.
Rok vydání: 2017
Zdroj: Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT) 2017
Scopus-Elsevier
DOI: 10.5281/zenodo.814798
Popis: The exploitation of heterogeneous data sources offering very large historical and streaming data is important to increasing the accuracy of operations when analysing and predicting future states of moving entities (planes, vessels, etc.). This article presents the overall goals and big data challenges addressed by datAcron on big data analytics for time-critical mobility forecasting.
Databáze: OpenAIRE