Georgios Chatzigeorgakidis

According to our database, Georgios Chatzigeorgakidis authored at least 16 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Efficient Range and kNN Twin Subsequence Search in Time Series.

Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos

IEEE Trans. Knowl. Data Eng., June, 2023

Accelerating Spatio-Textual Queries with Learned Indices.

Georgios Chatzigeorgakidis, Kostas Patroumpas, Dimitrios Skoutas, Spiros Athanasiou

CoRR, 2023

Topio: An Open-Source Web Platform for Trading Geospatial Data.

Andra Ionescu, Kostas Patroumpas, Kyriakos Psarakis, Georgios Chatzigeorgakidis, Diego Collarana, Kai Barenscher, Dimitrios Skoutas, Asterios Katsifodimos, Spiros Athanasiou

Proceedings of the Web Engineering - 23rd International Conference, 2023

Topio Marketplace: Search and Discovery of Geospatial Data.

Andra Ionescu, Alexandra Alexandridou, Leonidas Ikonomou, Kyriakos Psarakis, Kostas Patroumpas, Georgios Chatzigeorgakidis, Dimitrios Skoutas, Spiros Athanasiou, Rihan Hai, Asterios Katsifodimos

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2021

Twin Subsequence Search in Time Series.

Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos

Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020

Scalable indexing and exploration of big time series data

Georgios Chatzigeorgakidis

PhD thesis, 2020

A Visual Explorer for Geolocated Time Series.

Georgios Chatzigeorgakidis, Kostas Patroumpas, Dimitrios Skoutas, Spiros Athanasiou

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

2019

Visual Exploration of Geolocated Time Series with Hybrid Indexing.

Georgios Chatzigeorgakidis, Kostas Patroumpas, Dimitrios Skoutas, Spiros Athanasiou, Spiros Skiadopoulos

Big Data Res., 2019

Local Pair and Bundle Discovery over Co-Evolving Time Series.

Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos

Proceedings of the 16th International Symposium on Spatial and Temporal Databases, 2019

Local Similarity Search on Geolocated Time Series Using Hybrid Indexing.

Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos

Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

2018

FML-kNN: scalable machine learning on Big Data using <i>k</i>-nearest neighbor joins.

Georgios Chatzigeorgakidis, Sophia Karagiorgou, Spiros Athanasiou, Spiros Skiadopoulos

J. Big Data, 2018

Scalable hybrid similarity join over geolocated time series.

Georgios Chatzigeorgakidis, Kostas Patroumpas, Dimitrios Skoutas, Spiros Athanasiou, Spiros Skiadopoulos

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

Map-Based Visual Exploration of Geolocated Time Series.

Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Spiros Athanasiou, Spiros Skiadopoulos

Proceedings of the Workshops of the EDBT/ICDT 2018 Joint Conference (EDBT/ICDT 2018), 2018

2017

Indexing Geolocated Time Series Data.

Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Spiros Athanasiou, Spiros Skiadopoulos

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

2016

Who Wants to Self-Track Anyway? Measuring the Relation between Self-Tracking Behavior and Personality Traits.

Georgios Chatzigeorgakidis, Andrea Cuttone, Sune Lehmann, Jakob Eg Larsen

CoRR, 2016

2015

A MapReduce based k-NN joins probabilistic classifier.

Georgios Chatzigeorgakidis, Sophia Karagiorgou, Spiros Athanasiou, Spiros Skiadopoulos

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015