• Corpus ID: 2068981

Big Data Management and Analytics for Mobility Forecasting in datAcron

@inproceedings{Doulkeridis2017BigDM,
  title={Big Data Management and Analytics for Mobility Forecasting in datAcron},
  author={Christos Doulkeridis and Nikos Pelekis and Yannis Theodoridis and George A. Vouros},
  booktitle={EDBT/ICDT Workshops},
  year={2017}
}
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. 
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