H
Hoyoung Jeung
Researcher at École Polytechnique Fédérale de Lausanne
Publications - 32
Citations - 1837
Hoyoung Jeung is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Metadata & Metadata repository. The author has an hindex of 17, co-authored 32 publications receiving 1733 citations. Previous affiliations of Hoyoung Jeung include University of Queensland & École Normale Supérieure.
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Journal ArticleDOI
Discovery of convoys in trajectory databases
TL;DR: This paper formalizes the concept of a convoy query using density-based notions, in order to capture groups of arbitrary extents and shapes and develops three efficient algorithms for convoy discovery that adopt the well-known filter-refinement framework.
Proceedings ArticleDOI
A Hybrid Prediction Model for Moving Objects
TL;DR: An object's trajectory patterns which have ad-hoc forms for prediction are discovered and then indexed by a novel access method for efficient query processing, which estimates an object's future locations based on its pattern information as well as existing motion functions using the object's recent movements.
Journal ArticleDOI
Path prediction and predictive range querying in road network databases
TL;DR: A network mobility model is formulated that offers a concise representation of mobility statistics extracted from massive collections of historical object trajectories and a novel and efficient server-side indexing scheme that supports predictive range queries on the mobility statistics of the objects is presented.
Journal ArticleDOI
Enabling Query Technologies for the Semantic Sensor Web
TL;DR: The authors propose an ontology-based approach for providing data access and query capabilities to streaming data sources, allowing users to express their needs at a conceptual level, independent of implementation and language-specific details.
Proceedings ArticleDOI
Convoy Queries in Spatio-Temporal Databases
TL;DR: The main novelty of the methods is to approximate original trajectories by using line simplification methods and perform the discovery process over the simplified trajectories with bounded errors.