Multiple ASpects TrajEctoRy management and analysis

Risultati finali

Final version of data management and enrichment methods for holistic trajectories

Final deliverable reporting about research on data management and enrichment method

This deliverable includes the results of the requirement analysis for the scenarios and details application questions and data available.

Privacy and BigData issues in holistic trajectory construction and management

The deliverable addresses privacy concerns and scalability issues posed in MASTER by the representation management and storage of holistic trajectories

Final version of similarity measures and analysis methods for holistic trajectories

Final deliverable updating the content of Deliverable 51 entitled Similarity measures and analysis methods for holistic trajectories

Future challenges for holistic trajectories

This deliverable will report discussions and visions around the future challenges in research in holistic trajectories and the outcome of the workshop

First version of similarity measures and analysis methods for holistic trajectories

The first version deliverable reports about joint research work on similarity, machine learning and data mining methods for holistic trajectories.

Final Report on the application scenarios and software prototypes

Reports on the prototypes developed and the experiences conducted in the diverse application scenarios

Big Data and privacy issues in holistic trajectories analysis

This deliverable includes research methods for big data and privacy issues for trajectories analysis

Revision of the applications scenarios

This deliverable revises the requirements, the application questions and the information about the data available for the three scenarios.

Data Management and enrichment methods for holistic trajectories

Reports about the design and development of a proper solution for storing and managing holistic trajectories and enriching them using heterogeneous information sources.

Preliminary software prototypes

The deliverable reports on the three software prototypes developed in the three different application domains.

Project Web Site

Project Web site

Pubblicazioni

Multiple-aspect analysis of semantic trajectories(MASTER)

Autori: Chiara Renso, Vania Bogorny, Konstantinos Tserpes, Stan Matwin, Jose Antonio Fernandes de Macedo
Pubblicato in: International Journal of Geographical Information Science, 2021, Pagina/e 1-4, ISSN 1365-8816
Editore: Taylor & Francis
DOI: 10.1080/13658816.2020.1870982

Mobility Data Mining: from Technical to Ethical (Dagstuhl Seminar 22022)

Autori: Berendt, Bettina; Matwin, Stan; Renso, Chiara; Meissner, Fran; Pratesi, Francesca; Raffaetà, Alessandra; Rockwell, Geoffrey
Pubblicato in: ISTI Research report, pp.35–66, 2022, Numero 23, 2022
Editore: Dagstuhl
DOI: 10.4230/dagrep.12.1.35

Traj2User: exploiting embeddings for computing similarity of users mobile behavior

Autori: Andrea Esuli, Lucas May Petry, Chiara Renso, Vania Bogorny
Pubblicato in: arXiv.org, 2018
Editore: arXiv.org

Tensor Methods for Multi-Aspect Trajectory Data Mining

Autori: Kofidis, Eleftherios
Pubblicato in: https://hal.archives-ouvertes.fr/hal-02639989, Numero 8, 2020
Editore: Hal Open science

Towards a Granular Computing Framework for Multiple Aspect Trajectory Representation and Privacy Preservation: Research Challenges and Opportunities

Autori: Zaineb Chelly Dagdia; Vania Bogorny
Pubblicato in: Crossref, Numero 29, 2022
Editore: Polish Information processing Society
DOI: 10.15439/2022f282

TrajParquet: A Trajectory-Oriented Column File Format for Mobility Data Lakes

Autori: Nikolaos Koutroumanis, Christos Doulkeridis, Chiara Renso, Mirco Nanni, Raffaele Perego
Pubblicato in: SIGSPATIAL '23: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
Editore: ACM
DOI: 10.1145/3589132.3625623

Discovery of Tourists' Movement Patterns in Venice from Public Transport Data

Autori: Cogollos Adrián, Héctor Porras Alfonso, Santiago Baruque Zanón, Bruno Alessandra, Raffaeta' Filippo, Zanatta
Pubblicato in: SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (ACMSAC),, 2022
Editore: ACM
DOI: 10.1145/3477314.3507355

MAT-CA: a tool for Multiple Aspect Trajectory Clustering Analysis

Autori: Yuri Santos, Ricardo Giuliani, Tarlis Portela, Chiara Renso, Jônata Carvalho
Pubblicato in: EMODE '23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023, 2023
Editore: ACM
DOI: 10.1145/3615885.3628009

Dependency Rule Modeling for Multiple Aspects Trajectories

Autori: Ronaldo dos Santos Mello; Geomar Andre Schreiner; Cristian Alexandre Alchini; Gustavo Gonçalves dos Santos; Vania Bogorny; Chiara Renso
Pubblicato in: ER, 2021
Editore: Springer
DOI: 10.1007/978-3-030-89022-3_11

A Data Augmentation Algorithm for Trajectory Data

Autori: Yaksh J. Haranwala, Gabriel Spadon, Chiara Renso, Amilcar Soares
Pubblicato in: EMODE '23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data, 2023
Editore: ACM
DOI: 10.1145/3615885.3628008

MAT-Builder: a System to Build Semantically Enriched Trajectories

Autori: Chiara Pugliese; Francesco Lettich; Chiara Renso; Fabio Pinelli
Pubblicato in: 23rd IEEE International Conference on Mobile Data Management, MDM 2022, Paphos, Cyprus, June 6-9, 2022
Editore: IEEE
DOI: 10.1109/MDM55031.2022.00058

Multiple aspect trajectories: a case study on fishing vessels inthe Northern Adriatic sea

Autori: Giulia Rovinelli; Stan Matwin; Fabio Pranovi; Elisabetta Russo; Claudio Silvestri; Marta Simeoni; Alessandra Raffaetà
Pubblicato in: BMDA 21 Workshop, 2021
Editore: CSEUR
DOI: 10.5281/zenodo.6340675

Detecting Search and Rescue Missions from AIS Data

Autori: Iraklis Varlamis, Konstantinos Tserpes, Christos Sardianos
Pubblicato in: 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW), 2018, Pagina/e 60-65, ISBN 978-1-5386-6306-6
Editore: IEEE
DOI: 10.1109/ICDEW.2018.00017

Efficient astronomical query processing using spark

Autori: Mariem Brahem, Laurent Yeh, Karine Zeitouni
Pubblicato in: Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - SIGSPATIAL '18, 2018, Pagina/e 229-238, ISBN 9781-450358897
Editore: ACM Press
DOI: 10.1145/3274895.3274942

Hot Spot Analysis over Big Trajectory Data

Autori: Panagiotis Nikitopoulos, Aris-Iakovos Paraskevopoulos, Christos Doulkeridis, Nikos Pelekis, Yannis Theodoridis
Pubblicato in: 2018 IEEE International Conference on Big Data (Big Data), 2018, Pagina/e 761-770, ISBN 978-1-5386-5035-6
Editore: IEEE
DOI: 10.1109/bigdata.2018.8622376

Trajectory Prediction from External Sensor Data using Recurrent Neural Networks

Autori: Livia Almada Cruz, Karine Zeitouni, José A. F. de Macedo
Pubblicato in: International Conference on Big Data and Cyber-Security Intelligence (BDCSIntell), 2018
Editore: CSEUR

A Network Abstraction of Multi-vessel Trajectory Data for Detecting Anomalies

Autori: Iraklis Varlamis, Konstantinos Tserpes, Mohammad Etemad, Amilcar Soares Junior, Stan Matwin
Pubblicato in: Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference (EDBT/ICDT 2019), 2019
Editore: CEUR

VISTA: A visual analytics platform for semantic annotation of trajectories.

Autori: Amílcar Soares, Jordan Rose, Mohammad Etemad, Chiara Renso, Stan Matwin
Pubblicato in: Advances in Database Technology - 22nd International Conference on Extending Database Technology, {EDBT} 2019, Lisbon, Portugal, March 26-29, 2019, 2019, Pagina/e 570--573, ISBN 978-3-89318-081-3
Editore: OpenProceedings.org
DOI: 10.5441/002/edbt.2019.58

Performance Evaluation of MongoDB and PostgreSQL for spatio-temporal data

Autori: Antonios Makris, Giannis Spiliopoulos, Konstantinos Tserpes, Dimosthenis Anagnostopoulos
Pubblicato in: Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference (EDBT/ICDT 2019), 2019
Editore: CEUR

Integration of Mobility Data with Weather Information

Autori: Nikolaos Koutroumanis, Georgios M. Santipantakis, Apostolos Glenis, Christos Doulkeridis, George A. Vouros
Pubblicato in: Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference (EDBT/ICDT 2019), 2019
Editore: CEUR

Towards a Semantic Indoor Trajectory Model

Autori: Alexandros Kontarinis, Karine Zeitouni, Claudia Marinica, Dan Vodislav, Dimitris Kozinos
Pubblicato in: Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference (EDBT/ICDT 2019), 2019
Editore: CEUR

On Preserving Sensitive Information of Multiple Aspect Trajectories In-House

Autori: Spyros Giotakis, Nikos Pelekis
Pubblicato in: Companion Proceedings of The 2019 World Wide Web Conference on - WWW '19, 2019, Pagina/e 515-522, ISBN 9781-450366755
Editore: ACM Press
DOI: 10.1145/3308560.3317594

Exploring Interpretable Features for Large Time Series with SE4TeC

Autori: Jingwei Zuo, Karine Zeitouni, Yehia Taher
Pubblicato in: Advances in Database Technology - 22nd International Conference on Extending Database Technology, {EDBT} 2019, Lisbon, Portugal, March 26-29, 2019, 2019, ISBN 978-3-89318-081-3
Editore: OpenProceedings.org
DOI: 10.5441/002/edbt.2019.67

Extracting User Habits from Google Maps History Logs

Autori: Christos Sardianos, Iraklis Varlamis, Grigoris Bouras
Pubblicato in: 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018, Pagina/e 690-697, ISBN 978-1-5386-6051-5
Editore: IEEE
DOI: 10.1109/asonam.2018.8508442

Uncovering vessel movement patterns from AIS data with graph evolution analysis

Autori: Emanuele Carlini; Vinicius Monteiro de Lira; Amilcar Soares; Mohammad Etemad; Bruno Brandoli Machado; Stan Matwin
Pubblicato in: EDBT conference workshop proceedings, 2020
Editore: CSEUR.org
DOI: 10.5281/zenodo.3685892

Summarizing Trajectories Using Semantically Enriched Geographical Context

Autori: Chiara Pugliese, Francesco Lettich, Fabio Pinelli, Chiara Renso
Pubblicato in: SIGSPATIAL '23: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
Editore: ACM
DOI: 10.1145/3589132.3625587

AUTOMATISE: Multiple Aspect Trajectory Data Mining Tool Library

Autori: Tarlis Tortelli Portela; Vania Bogorny; Anna Bernasconi; Chiara Renso
Pubblicato in: 23rd IEEE International Conference on Mobile Data Management (MDM), 2022
Editore: IEEE
DOI: 10.1109/mdm55031.2022.00060

A real-time trajectory classification module

Autori: Ioannis Kontopoulos, Antonios Makris, and Konstantinos Tserpes
Pubblicato in: EMODE '23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023, 2023
Editore: ACM
DOI: 10.1145/3615885.3628005

A novel similarity measure for multiple aspect trajectory clustering

Autori: Iraklis Varlamis; Christos Sardianos; Vania Bogorny; Luis Otavio Alvares; Jonata Tyska Carvalho; Chiara Renso; Raffaele Perego; John Violos
Pubblicato in: SAC, Numero 18, 2021
Editore: ACM
DOI: 10.1145/3412841.3441935

A general methodology for building multiple aspect trajectories

Autori: Francesco Lettich; Chiara Pugliese; Chiara Renso; Fabio Pinelli
Pubblicato in: SAC 2023 - 38th ACM/SIGAPP Symposium on Applied Computing, pp. 515–517, Tallinn, Estonia, 27-31/03/2023, Numero 44, 2023
Editore: ACM
DOI: 10.1145/3555776.3577832

A novel approach to define the local region of dynamic selection techniques in imbalanced credit scoring problems

Autori: Leopoldo Melo Junior; Franco Maria Nardini; Chiara Renso; Roberto Trani; José Antônio Fernandes de Macêdo
Pubblicato in: Expert systems with applications 152 (2020). doi:10.1016/j.eswa.2020.113351, Numero 35, 2019, ISSN 0957-4174
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2020.113351

MAT-Index: An index for fast multiple aspect trajectory similarity measuring

Autori: Ana Paula Ramos de Souza; Chiara Renso; Raffaele Perego; Vania Bogorny
Pubblicato in: Transactions in GIS, Numero 9, 2022, ISSN 1467-9671
Editore: John Wiley & Sons Ltd
DOI: 10.1111/tgis.12889

TraClets: A trajectory representation and classification library

Autori: Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes
Pubblicato in: SoftwareX, 2023, ISSN 2352-7110
Editore: Elsevier
DOI: 10.1016/j.softx.2023.101306

MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings

Autori: Lucas May Petry, Camila Leite Da Silva, Andrea Esuli, Chiara Renso, Vania Bogorny
Pubblicato in: International Journal of Geographical Information Science, Numero 34/7, 2020, Pagina/e 1428-1450, ISSN 1365-8816
Editore: Taylor & Francis
DOI: 10.1080/13658816.2019.1707835

AIS-Enabled Weather Routing for Cargo Loss Prevention

Autori: by Kalliopi Spyrou-Sioula,Ioannis Kontopoulos,Dimitrios Kaklis,Antonios Makris,Konstantinos Tserpes,Pavlos Eirinakis andFotis Oikonomou
Pubblicato in: Journal of Marine Science and Engineering, Numero 20771312, 2022, ISSN 2077-1312
Editore: MDPI
DOI: 10.3390/jmse10111755

A distributed framework for extracting maritime traffic patterns

Autori: Ioannis Kontopoulos, Iraklis Varlamis, Konstantinos Tserpes
Pubblicato in: International Journal of Geographical Information Science, 2020, Pagina/e 1-26, ISSN 1365-8816
Editore: Taylor & Francis
DOI: 10.1080/13658816.2020.1792914

Semantic Enrichment of Mobility Data: A Comprehensive Methodology and the MAT-BUILDER System

Autori: Francesco Lettich; Chiara Pugliese; Chiara Renso; Fabio Pinelli
Pubblicato in: IEEE access 11 (2023): 90857–90875. doi:10.1109/ACCESS.2023.3307824, Numero 46, 2023, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3307824

Evaluating the effect of compressing algorithms for trajectory similarity and classification problems

Autori: Antonios Makris, Camila Leite da Silva, Vania Bogorny, Luis Otavio Alvares, Jose Antonio Macedo, Konstantinos Tserpes
Pubblicato in: GeoInformatica, 2021, ISSN 1384-6175
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10707-021-00434-1

Modeling Trajectories Obtained from External Sensors for Location Prediction via NLP Approaches

Autori: Lívia Almada Cruz, Ticiana Linhares Coelho da Silva, Régis Pires Magalhães, Wilken Charles Dantas Melo, Matheus Cordeiro, José Antonio Fernandes de Macedo and Karine Zeitouni
Pubblicato in: Sensors, Numero 14248220, 2022, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22197475

From multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea

Autori: Bruno Brandoli; Alessandra Raffaetà; Marta Simeoni; Pedram Adibi; Fateha Khanam Bappee; Fabio Pranovi; Giulia Rovinelli; Elisabetta Russo; Claudio Silvestri; Amilcar Soares; Stan Matwin
Pubblicato in: Geoinformatica, Numero 15737624, 2022, ISSN 1573-7624
Editore: Springer
DOI: 10.1007/s10707-022-00463-4

Boosting Ride Sharing With Alternative Destinations

Autori: Vinicius Monteiro de Lira, Raffaele Perego, Chiara Renso, Salvatore Rinzivillo, Valeria Cesario Times
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, Numero 19/7, 2018, Pagina/e 2290-2300, ISSN 1524-9050
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TITS.2018.2836395

ASTROIDE: A Unified Astronomical Big Data Processing Engine over Spark

Autori: Mariem BRAHEM, Karine Zeitouni, Laurent Yeh
Pubblicato in: IEEE Transactions on Big Data, 2018, Pagina/e 1-1, ISSN 2332-7790
Editore: IEEE
DOI: 10.1109/TBDATA.2018.2873749

MASTER: A multiple aspect view on trajectories

Autori: Ronaldo dos Santos Mello, Vania Bogorny, Luis Otavio Alvares, Luiz Henrique Zambom Santana, Carlos Andres Ferrero, Angelo Augusto Frozza, Geomar Andre Schreiner, Chiara Renso
Pubblicato in: Transactions in GIS, Numero 23, 2019, Pagina/e 805-822, ISSN 1361-1682
Editore: Blackwell Publishing Inc.
DOI: 10.1111/tgis.12526

Towards semantic‐aware multiple‐aspect trajectory similarity measuring

Autori: Lucas May Petry, Carlos Andres Ferrero, Luis Otavio Alvares, Chiara Renso, Vania Bogorny
Pubblicato in: Transactions in GIS, Numero 23/5, 2019, Pagina/e 960-975, ISSN 1361-1682
Editore: Blackwell Publishing Inc.
DOI: 10.1111/tgis.12542

A Framework for the Detection of Search and Rescue Patterns Using Shapelet Classification

Autori: Konstantinos Kapadais, Iraklis Varlamis, Christos Sardianos, Konstantinos Tserpes
Pubblicato in: Future Internet, Numero 11/9, 2019, Pagina/e 192, ISSN 1999-5903
Editore: MDPI
DOI: 10.3390/fi11090192

MongoDB Vs PostgreSQL: A comparative study on performance aspects

Autori: Antonios Makris, Konstantinos Tserpes, Giannis Spiliopoulos, Dimitrios Zissis, Dimosthenis Anagnostopoulos
Pubblicato in: GeoInformatica, 2020, ISSN 1384-6175
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10707-020-00407-w

Understanding evolution of maritime networks from automatic identification system data

Autori: Emanuele Carlini; Vinicius Monteiro de Lira; Amilcar Soares; Mohammad Etemad; Bruno Brandoli; Stan Matwin
Pubblicato in: Geoinformatica (Dordrecht) (2021). doi:10.1007/s10707-021-00451-0, Numero 10, 2022, ISSN 1384-6175
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10707-021-00451-0

Stop-and-move sequence expressions over semantic trajectories

Autori: Yenier Torres Izquierdo, Grettel Monteagudo García, Marco A. Casanova, Luiz André P. Paes Leme, Christos Sardianos, Konstantinos Tserpes, Iraklis Varlamis, Lívia C. Ruback Rodrigues
Pubblicato in: International Journal of Geographical Information Science, 2020, Pagina/e 1-26, ISSN 1365-8816
Editore: Taylor & Francis
DOI: 10.1080/13658816.2020.1793157

Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning

Autori: Pedram Adibi, Fabio Pranovi, Alessandra Raffaetà, Elisabetta Russo, Claudio Silvestri, Marta Simeoni, Amilcar Soares, Stan Matwin
Pubblicato in: Multiple-Aspect Analysis of Semantic Trajectories - First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings, Numero 11889, 2020, Pagina/e 83-99, ISBN 978-3-030-38080-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-38081-6_7

Prospective Data Model and Distributed Query Processing for Mobile Sensing Data Streams

Autori: Mariem Brahem, Karine Zeitouni, Laurent Yeh, Hafsa El Hafyani
Pubblicato in: Multiple-Aspect Analysis of Semantic Trajectories - First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings, Numero 11889, 2020, Pagina/e 66-82, ISBN 978-3-030-38080-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-38081-6_6

Online Long-Term Trajectory Prediction Based on Mined Route Patterns

Autori: Petros Petrou, Panagiotis Tampakis, Harris Georgiou, Nikos Pelekis, Yannis Theodoridis
Pubblicato in: Multiple-Aspect Analysis of Semantic Trajectories - First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings, Numero 11889, 2020, Pagina/e 34-49, ISBN 978-3-030-38080-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-38081-6_4

Uncovering Hidden Concepts from AIS Data: A Network Abstraction of Maritime Traffic for Anomaly Detection

Autori: Ioannis Kontopoulos, Iraklis Varlamis, Konstantinos Tserpes
Pubblicato in: Multiple-Aspect Analysis of Semantic Trajectories - First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings, Numero 11889, 2020, Pagina/e 6-20, ISBN 978-3-030-38080-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-38081-6_2

Multiple-Aspect Analysis of Semantic Trajectories - First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings

Autori: Konstantinos Tserpes; Chiara Renso; Stan Matwin
Pubblicato in: Lecture Notes in Artificial Intelligence, Numero 11889, 2020, ISBN 978-3-030-38081-6
Editore: SpringerOpen
DOI: 10.1007/978-3-030-38081-6

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