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Yannis Theodoridis
Researcher at University of Piraeus
Publications - 236
Citations - 10009
Yannis Theodoridis is an academic researcher from University of Piraeus. The author has contributed to research in topics: Spatial database & Spatial query. The author has an hindex of 47, co-authored 223 publications receiving 9426 citations. Previous affiliations of Yannis Theodoridis include National and Kapodistrian University of Athens & Research Academic Computer Technology Institute.
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Proceedings ArticleDOI
TACO: tunable approximate computation of outliers in wireless sensor networks
TL;DR: This paper introduces an in-network outlier detection framework, based on locality sensitive hashing, extended with a novel boosting process as well as efficient load balancing and comparison pruning mechanisms.
Proceedings ArticleDOI
Mining Trajectory Databases via a Suite of Distance Operators
TL;DR: A novel set of trajectory distance operators based on primitive as well as derived parameters of trajectories (speed and direction) is defined, aimed at providing a powerful toolkit for analysts who require producing distance matrices with different semantics as input to mining tasks.
Journal ArticleDOI
Semantic-aware aircraft trajectory prediction using flight plans
TL;DR: Flight plans, localized weather and aircraft properties are introduced as trajectory annotations that enable modeling in a space higher than the typical 4-D spatio-temporal, including hidden Markov model (HMM), linear regressors, regression trees and feed-forward neural networks.
Journal ArticleDOI
HERMES: A Trajectory DB Engine for Mobility-Centric Applications
TL;DR: HEMMES, a prototype DB engine that defines a powerful query language for trajectory databases, is applied to a case study related with vehicle traffic analysis, demonstrating its flexibility and usefulness for delivering custom-defined LBS.
Proceedings ArticleDOI
Privacy-aware querying over sensitive trajectory data
TL;DR: A trajectory query engine that allows subscribed users to gain restricted access to the database to accomplish various analysis tasks and preserves user anonymity in answers to queries by augmenting the real trajectories with a set of carefully crafted, realistic fake trajectories.