CORDIS - Forschungsergebnisse der EU
CORDIS

Data Engineering for Data Science

Leistungen

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

Veröffentlichungen

Impact of filter feature selection on classification: an empirical study

Autoren: Njoku, Uchechukwu Fortune; Abelló Gamazo, Alberto; Bilalli, Besim; Bontempi, Gianluca
Veröffentlicht in: DOLAP co-located with EDBT/ICDT, Ausgabe 3130, 2022
Herausgeber: CEUR-WS.org

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

Autoren: Lunghi, Daniele and Simitsis, Alkis and Caelen, Olivier and Bontempi, Gianluca
Veröffentlicht in: Proceedings of the Second ACM Data Economy Workshop, 2023, Seite(n) 27--33
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3600046.3600051

Wrapper Methods for Multi-Objective Feature Selection

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

Mobility Data Science (Dagstuhl Seminar 22021)

Autoren: 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
Veröffentlicht in: Dagstuhl Reports, 2022, ISSN 2192-5283
Herausgeber: Schloss Dagstuhl -- Leibniz-Zentrum fur Informatik
DOI: 10.4230/dagrep.12.1.1

Semantic Segmentation of AIS Trajectories for Detecting Complete Fishing Activities

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

Evaluation of Vessel CO2 Emissions Methods Using AIS Trajectories

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

Database Optimizers in the Era of Learning

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

Speed and energy consumption for electrical vehicles

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

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

Autoren: Antonios Kontaxakis; Nikos Giatrakos; Dimitris Sacharidis; Antonios Deligiannakis
Veröffentlicht in: Information Systems, Ausgabe 1, 2023, ISSN 0306-4379
Herausgeber: Elsevier Science & Technology
DOI: 10.1016/j.is.2023.102221

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