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Auflistung nach Schlagwort "Spatio-temporal data"

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  • Textdokument
    Data Management in Multi-Agent Simulation Systems
    (BTW 2021, 2021) Glake, Daniel; Panse, Fabian; Ritter, Norbert; Clemen, Thomas; Lenfers, Ulfia
    Multi-agent simulations are an upcoming trend to deal with the urgent need to predict complex situations as they arise in many real-life areas, such as disaster or traffic management. Such simulations require large amounts of heterogeneous data ranging from spatio-temporal to standard object properties. This and the increasing demand for large scale and real-time simulations pose many challenges for data management. In this paper, we present the architecture of a typical agent-based simulation system, describe several data management challenges that arise in such a data ecosystem, and discuss their current solutions within our multi-agent simulation system MARS.
  • Zeitschriftenartikel
    Feature Engineering Techniques and Spatio-Temporal Data Processing
    (Datenbank-Spektrum: Vol. 21, No. 3, 2021) Forke, Chris-Marian; Tropmann-Frick, Marina
    More and more applications nowadays use spatio-temporal data for different purposes. In order to be processed and used efficiently, this unique type of data requires special handling. This paper summarizes methods and approaches for feature selection of spatio-temporal data and machine learning algorithms for spatio-temporal data engineering. Furthermore, it highlights relevant work in specific domains. The range of possible approaches for data processing is quite wide. However, in order to use these approaches with the spatio-temporal data in a meaningful and practical way, individual data processing steps need to be adapted. One of the most important steps is feature engineering.