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teaching:projh402 [2020/10/01 12:35] mahmsakr [Geospatial Trajectory Data Cleaning] |
teaching:projh402 [2020/10/01 12:51] mahmsakr [Geospatial Trajectory Similarity Measure] |
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| ===== Geospatial Trajectory Similarity Measure ===== | ===== Geospatial Trajectory Similarity Measure ===== | ||
| + | One of the main functions for a wide range of application domains is to measure the similarity between two moving objects' trajectories. This is desirable for similarity-based retrieval, classification, clustering and other querying and mining tasks over moving objects' data. The existing movement similarity measures can be classified into two classes: (1) spatial similarity that focuses on finding trajectories with similar geometric shapes, ignoring the temporal dimension; and (2) spatio-temporal similarity that takes into account both the spatial and the temporal dimensions of movement data. | ||
| + | The goal of this project is to survey and to prototype in MobilityDB the state of art methods in trajectory similarity. Since it is a complex problem, these outcomes should serve as a base for a thesis project to propose effective and efficient trajectory similarity measures. | ||
| ===== Spatiotemporal k-Nearest Neighbour (kNN) Queries ===== | ===== Spatiotemporal k-Nearest Neighbour (kNN) Queries ===== | ||