- Authors:
- Nikos Pelekis,
- Yannis Theodoridis
This text integrates different mobility data handling processes, from database management to multi-dimensional analysis and mining, into a unified presentation driven by the spectrum of requirements raised by real-world applications. It presents a step-by-step methodology to understand and exploit mobility data: collecting and cleansing data, storage in Moving Object Database (MOD) engines, indexing, processing, analyzing and mining mobility data. Emerging issues, such as semantic and privacy-aware querying and mining as well as distributed data processing, are also covered. Theoretical presentation is smoothly interchanged with hands-on exercises and case studies involving an actual MOD engine. The authors are established experts who address both theoretical and practical dimensions of the field but also presentvaluable prototype software. The background context, clear explanations and sample exercises make this an ideal textbook for graduate students studying database management, data mining and geographic information systems.
Cited By
Valdés F and Güting R Efficient Multi-Attribute Analysis for Trajectories Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, (1-4)- Kim K, Kim D, Jeong H and Ogawa H Stinuum Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, (1-4)
- Gao Q, Zhou F, Zhang K, Trajcevski G, Luo X and Zhang F Identifying human mobility via trajectory embeddings Proceedings of the 26th International Joint Conference on Artificial Intelligence, (1689-1695)
- Valdés F and Güting R (2017). Index-supported pattern matching on tuples of time-dependent values, Geoinformatica, 21:3, (429-458), Online publication date: 1-Jul-2017.
- Splechtna R, Diehl A, Elshehaly M, Delrieux C, Gračanin D and Matković K Bus Lines Explorer Proceedings of the 9th International Symposium on Visual Information Communication and Interaction, (30-34)
- Fileto R, Bogorny V, May C and Klein D (2015). Semantic enrichment and analysis of movement data, SIGSPATIAL Special, 7:1, (11-18), Online publication date: 20-May-2015.
- Damiani M, Issa H, Güting R and Valdes F (2015). Symbolic trajectories and application challenges, SIGSPATIAL Special, 7:1, (51-58), Online publication date: 20-May-2015.
- Güting R, Valdés F and Damiani M (2015). Symbolic Trajectories, ACM Transactions on Spatial Algorithms and Systems, 1:2, (1-51), Online publication date: 5-Nov-2015.
- Lettich F, Orlando S and Silvestri C Processing streams of spatial k-NN queries and position updates on manycore GPUs Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, (1-10)
- Trajcevski G, Donevska I, Vaisman A, Avci B, Zhang T and Tian D Semantics-Aware Warehousing of Symbolic Trajectories Proceedings of the 6th ACM SIGSPATIAL International Workshop on GeoStreaming, (1-8)
- Fileto R, Raffaetà A, Roncato A, Sacenti J, May C and Klein D A Semantic Model for Movement Data Warehouses Proceedings of the 17th International Workshop on Data Warehousing and OLAP, (47-56)
- Valdés F and Güting R Index-supported pattern matching on symbolic trajectories Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, (53-62)
Index Terms
- Mobility Data Management and Exploration
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