Semantic-aware building and summarization of multiple aspect trajectories

Author:

Pugliese Chiara12ORCID

Affiliation:

1. ISTI Institute of National Research Council, Pisa, Italy

2. Dept. of Computer Science, University of Pisa, Pisa, Italy

Publisher

ACM

Reference11 articles.

1. Review and classification of trajectory summarisation algorithms: From compression to segmentation

2. M. L. Damiani , F. Hachem , C. Quadri , M. Rossini , and S. Gaito . On location relevance and diversity in human mobility data. ACM Transactions on Spatial Algorithms and Systems (TSAS), 7(2):1--38 , 2020 . M. L. Damiani, F. Hachem, C. Quadri, M. Rossini, and S. Gaito. On location relevance and diversity in human mobility data. ACM Transactions on Spatial Algorithms and Systems (TSAS), 7(2):1--38, 2020.

3. The Baquara2 knowledge-based framework for semantic enrichment and analysis of movement data

4. Adaptive simplification of GPS trajectories with geographic context – a quadtree-based approach

5. A general methodology for building multiple aspect trajectories

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