Data Engineering for Data Science

Informazioni relative al progetto

DEDS

ID dell’accordo di sovvenzione: 955895

DOI

10.3030/955895

Data della firma CE 13 Agosto 2020

Data di avvio 1 Marzo 2021

Data di completamento 31 Ottobre 2025

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 3 948 040,44

Contributo UE

€ 3 948 040,44

Coordinato da

UNIVERSITE LIBRE DE BRUXELLES
Belgium

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (13)

Research Plan on Storage and Processing
Research Plan on Preparation
State of the Art on Analysis
Doctoral Training Plan

Doctoral Training Plan will summarise the objectives of the doctoral training of the ESRs

First Comm., Dissem., and TT Report

First Comm Dissem and TT Report will provide the results of the dissemination actions during the first reporting period

State of the Art on Preparation
State of the Art on Data Governance
Selection Report

Selection Report will summarise the ESR’s application, selection, and recruitment process, and the procedures for the continuous monitoring and evaluation of the ESRs

Comm., Dissem., and TT Plan

Comm., Dissem., and TT Plan will describe the actions ensuring a maximal outreach of the project activities and results.

Quality Assement Plan

Quality Assessment Plan will summarise the procedure for assessing the programme and define an initial set of KPIs.

Research Plan on Analysis
State of the Art on Storage and Processing
Research Plan on Data Governance

Pubblicazioni

Conference proceedings (18)

Impact of filter feature selection on classification: an empirical study

Autori: Njoku, Uchechukwu Fortune; Abelló Gamazo, Alberto; Bilalli, Besim; Bontempi, Gianluca
Pubblicato in: DOLAP co-located with EDBT/ICDT, Numero 3130, 2022
Editore: CEUR-WS.org

Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives

Autori: Lunghi, Daniele and Simitsis, Alkis and Caelen, Olivier and Bontempi, Gianluca
Pubblicato in: Proceedings of the Second ACM Data Economy Workshop, 2023, Pagina/e 27--33
Editore: Association for Computing Machinery
DOI: 10.1145/3600046.3600051

Performance Analysis of Distributed GPU-Accelerated Task-Based Workflows

Autori: Marcos N. L. Carvalho, Anna Queralt, Oscar Romero, Alkis Simitsis, Cristian Tatu, Rosa M. Badia
Pubblicato in: EDBT/ICDT 2024, 2024
Editore: OpenProceedings.org
DOI: 10.48786/edbt.2024.59

Uncertainty-Aware Ship Location Estimation using Multiple Cameras in Coastal Areas

Autori: Song Wu, Alexandros Troupiotis-Kapeliaris, Dimitris Zissis, Kristian Torp, Esteban Zimányi, Mahmoud Sakr
Pubblicato in: 2024 25th IEEE International Conference on Mobile Data Management (MDM), 2024, Pagina/e 109-118
Editore: IEEE
DOI: 10.1109/mdm61037.2024.00034

Wrapper Methods for Multi-Objective Feature Selection

Autori: Njoku, Uchechukwu Fortune and Abell{\'o} Gamazo, Alberto and Bilalli, Besim and Bontempi, Gianluca
Pubblicato in: 26th International Conference on Extending Database Technology, 2023
Editore: OpenProceedings
DOI: 10.48786/edbt.2023.58

Effective Ship Trajectory Imputation with Multiple Coastal Cameras

Autori: Song Wu, Kristian Torp, Alexandros Troupiotis-Kapeliaris, Dimitris Zissis, Esteban Zimányi, Mahmoud Sakr
Pubblicato in: 2025 26th IEEE International Conference on Mobile Data Management (MDM), 2025, Pagina/e 145-155
Editore: IEEE
DOI: 10.1109/mdm65600.2025.00038

Finding Relevant Information in Big Datasets with ML.

Autori: Njoku, Uchechukwu Fortune; Abelló Gamazo, Alberto; Bilalli, Besim; Bontempi, Gianluca
Pubblicato in: 2024
Editore: OpenProceedings
DOI: 10.48786/edbt.2024.85

Mitigating Data Sparsity in Integrated Data through Text Conceptualization

Autori: Md Ataur Rahman, Sergi Nadal, Oscar Romero, Dimitris Sacharidis
Pubblicato in: 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2024, Pagina/e 3490-3504
Editore: IEEE
DOI: 10.1109/icde60146.2024.00269

Mobility Data Science (Dagstuhl Seminar 22021)

Autori: Mokbel, Mohamed ; Sakr, Mahmoud ; Xiong, Li ; Züfle, Andreas ; Almeida, Jussara ; Anderson, Taylor ; Aref, Walid ; Andrienko, Gennady ; Andrienko, Natalia ; Cao, Yang ; Chawla, Sanjay ; Cheng, Reynold ; Chrysanthis, Panos ; Fei, Xiqi ; Ghinita, Gabriel ; Graser, Anita ; Gunopulos, Dimitrios ; Jensen, Christian ; Kim, Joon-Sook ; Kim, Kyoung-Sook ; Kröger, Peer ; Krumm, John ; Lauer, Johannes ; M
Pubblicato in: Dagstuhl Reports, 2022, ISSN 2192-5283
Editore: Schloss Dagstuhl -- Leibniz-Zentrum fur Informatik
DOI: 10.4230/dagrep.12.1.1

Semantic Segmentation of AIS Trajectories for Detecting Complete Fishing Activities

Autori: Song Wu; Esteban Zimányi; Mahmoud Sakr; Kristian Torp
Pubblicato in: 2022 23rd IEEE International Conference on Mobile Data Management (MDM), 2022
Editore: IEEE
DOI: 10.1109/mdm55031.2022.00092

HYPPO: Using Equivalences to Optimize Pipelines in Exploratory Machine Learning

Autori: Antonios Kontaxakis, Dimitris Sacharidis, Alkis Simitsis, Alberto Abelló, Sergi Nadal
Pubblicato in: 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2024, Pagina/e 221-234
Editore: IEEE
DOI: 10.1109/icde60146.2024.00024

Evaluation of Vessel CO2 Emissions Methods Using AIS Trajectories

Autori: Wu, Song and Torp, Kristian and Sakr, Mahmoud and Zimanyi, Esteban
Pubblicato in: Proceedings of the 18th International Symposium on Spatial and Temporal Data, 2023
Editore: Association for Computing Machinery
DOI: 10.1145/3609956.3609960

A Study on Efficient Indexing for Table Search in Data Lakes

Autori: Ibraheem Taha, Matteo Lissandrini, Alkis Simitsis, Yannis Ioannidis
Pubblicato in: 2024 IEEE 18th International Conference on Semantic Computing (ICSC), 2024, Pagina/e 245-252
Editore: IEEE
DOI: 10.1109/icsc59802.2024.00046

A Framework for Automated Junction Monitoring

Autori: Rodrigo Sasse David, Kristian Torp, Mahmoud Sakr, Esteban Zimányi
Pubblicato in: Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2025, Pagina/e 304-313
Editore: ACM
DOI: 10.1145/3678717.3691322

Roundabouts and the Energy Consumption of Electrical Vehicles

Autori: Rodrigo Sasse David, Esteban Zimányi, Kristian Torp, Mahmoud Sakr
Pubblicato in: Proceedings of the 16th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2025, Pagina/e 9-18
Editore: ACM
DOI: 10.1145/3615895.3628165

Database Optimizers in the Era of Learning

Autori: Dimitris Tsesmelis and Alkis Simitsis
Pubblicato in: 38th {IEEE} International Conference on Data Engineering, {ICDE}, 2022
Editore: IEEE
DOI: 10.1109/icde53745.2022.00301

Speed and energy consumption for electrical vehicles

Autori: Rodrigo Sasse David and Esteban Zim{\'{a}}nyi and Kristian Torp and Mahmoud Attia Sakr
Pubblicato in: Proceedings of the 15th {ACM} {SIGSPATIAL} International Workshop on Computational Transportation Science, {IWCTS} 2022,, 2022
Editore: ACM
DOI: 10.1145/3557991.3567802

A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection

Autori: Njoku, Uchechukwu Fortune; Abelló Gamazo, Alberto; Bilalli, Besim; Bontempi, Gianluca
Pubblicato in: 2024
Editore: CEUR-WS.org

Peer reviewed articles (4)

AIDE: Antithetical, Intent-based, and Diverse Example-Based Explanations

Autori: Ikhtiyor Nematov, Dimitris Sacharidis, Katja Hose, Tomer Sagi
Pubblicato in: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, Numero 7, 2024, Pagina/e 1051-1062, ISSN 3065-8365
Editore: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/aies.v7i1.31702

And synopses for all: A synopses data engine for extreme scale analytics-as-a-service

Autori: Antonios Kontaxakis; Nikos Giatrakos; Dimitris Sacharidis; Antonios Deligiannakis
Pubblicato in: Information Systems, Numero 1, 2023, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2023.102221

Scalable Model-Based Management of Massive High Frequency Wind Turbine Data with ModelarDB

Autori: Abduvoris Abduvakhobov, Søren Kejser Jensen, Torben Bach Pedersen, Christian Thomsen
Pubblicato in: Proceedings of the VLDB Endowment, Numero 17, 2025, Pagina/e 4723-4732, ISSN 2150-8097
Editore: Association for Computing Machinery (ACM)
DOI: 10.14778/3704965.3704978

Workload Placement on Heterogeneous CPU-GPU Systems

Autori: Marcos N. L. Carvalho, Alkis Simitsis, Anna Queralt, Oscar Romero
Pubblicato in: Proceedings of the VLDB Endowment, Numero 17, 2024, Pagina/e 4241-4244, ISSN 2150-8097
Editore: Association for Computing Machinery (ACM)
DOI: 10.14778/3685800.3685845