Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.01 vteřin. 
Trajectory Data Preprocessing Framework for Discovering Semantic Locations
Ostroukh, Anna ; Burgetová, Ivana (oponent) ; Ismael, Mazen (vedoucí práce)
The main goal of this thesis is to study existing approaches for trajectory data preprocessing with a focus on semantic trajectories, discovery and development of a framework, which integrates trajectory data from GPS sensors with semantics. The problem of raw trajectories analysis is that it cannot be as comprehensive as the analysis of trajectories containing meaningful context. The study of different approaches and algorithms are followed up by the design and implementation of the framework, which finds semantic locations by application of a density-based clustering algorithm on trajectories stops. The proposed framework is evaluated on real datasets containing raw GPS records.
Trajectory Data Preprocessing Framework for Discovering Semantic Locations
Ostroukh, Anna ; Burgetová, Ivana (oponent) ; Ismael, Mazen (vedoucí práce)
The main goal of this thesis is to study existing approaches for trajectory data preprocessing with a focus on semantic trajectories, discovery and development of a framework, which integrates trajectory data from GPS sensors with semantics. The problem of raw trajectories analysis is that it cannot be as comprehensive as the analysis of trajectories containing meaningful context. The study of different approaches and algorithms are followed up by the design and implementation of the framework, which finds semantic locations by application of a density-based clustering algorithm on trajectories stops. The proposed framework is evaluated on real datasets containing raw GPS records.

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