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ORCID26th EDBT / 26th ICDT 2023: Ioannina, Greece
- George Fletcher, Verena Kantere:
Proceedings of the Workshops of the EDBT/ICDT 2023 Joint Conference, Ioannina, Greece, March, 28, 2023. CEUR Workshop Proceedings 3379, CEUR-WS.org 2023
2nd International Workshop on Data Platform Design, Management, and Optimization (DATAPLAT)
- Fagnine Alassane Coulibaly, Sandro Bimonte, Stefano Rizzi, Sylvie Malembic-Maher, Frédéric Fabre:
Towards a Multi-Model Approach to Support User-Driven Extensibility in Data Warehouses: Agro-ecology Case Study. - Sara Bonfitto, Paolo Perlasca, Marco Mesiti:
Easy-to-use Interfaces for Supporting the Semantic Annotation of Web Tables. - Carlo Manco, Tommaso Dolci, Fabio Azzalini, Enrico Barbierato, Marco Gribaudo, Letizia Tanca:
HEALER: A Data Lake Architecture for Healthcare. - Lucia de Espona, Ela Pustulka:
MongoDB Data Versioning Performance: local versus Atlas. - Antonios Karvelas, Yannis Foufoulas, Alkis Simitsis, Yannis E. Ioannidis:
Toulouse: Learning Join Order Optimization Policies for Rule-based Data Engines. - Abdullah Khalid A. Almasaud, Sandra Sampaio, Pedro Sampaio:
Mining Data Wrangling Workflows for Patterns, Reuse and Optimisation Opportunities. - Mariella Bonomo, Simona E. Rombo, Filippo Rotolo:
Prediction of User-Brand Associations Based on Sentiment Analysis.
7th International workshop on Data Analytics solutions for Real-LIfe APplications (DARLI-AP)
- Yassine Guermazi, Sana Sellami, Omar Boucelma:
GeoRoBERTa: A Transformer-based Approach for Semantic Address Matching. - Arik Ermshaus, Sunita Singh, Ulf Leser:
Time Series Segmentation Applied to a New Data Set for Mobile Sensing of Human Activities. - Fabrizio Giuliano, Simona Ester Rombo, Mariella Bonomo, Salvatore Iiritano, Luigi Granata, Massimiliano Ruffolo, Ilenia Tinnirello:
Amarelli's Industry 4.0 Transformation with IoT and Digital Advertisement: Optimizing Operations and Engaging Customers. - Louann Coste, Flora Helmers, Hamamache Kheddouci, Léo Le Nestour, Mahsa Niazi, Genoveva Vargas-Solar:
Strategies for creating knowledge graphs to depict a multi-perspective Queer communities representation. - Davide Napolitano, Lorenzo Vaiani, Luca Cagliero:
Learning Confidence Intervals for Feature Importance: A Fast Shapley-based Approach. - Genoveva Vargas-Solar, Karim Dao, Javier A. Espinosa-Oviedo:
Translating data science queries from natural language into graph analytics queries using NLDS-QL. - Silvia Meddi, Sara Cavaglion, Tania Cerquitelli, Emanuele Manfredi, Andrea Regalia, Raffaele Menolascino, Guido Zardo:
Data-driven energy demand forecasting for electric vehicle charging infrastructure. - Alessandro Speciale, Greta Vallero, Luca Vassio, Marco Mellia:
Recommendation Systems in Libraries: an Application with Heterogeneous Data Sources. - Angelos Moavinis, Anastasios Gounaris, Ioannis Constantinou:
Detection of anomalous trajectories for vehicle traffic data. - Irene Capodicasa, Tania Cerquitelli:
Forecasting Li-ion battery State of Charge using Long-Short-Term-Memory network.
1st International Workshop on Data Analytics for Personal & Ubiquitous Computing (DATUM)
- Loukas Chatzivasili, Georgia Charalambous, Maria Papoutsoglou, Georgia M. Kapitsaki, Ioustina Harasim, Eva Chatzinikolaou, Georgia Sarafidou, Ioannis Rallis, Markos Digenis:
A Framework for Biodiversity Image Analysis using Machine Learning and Crowdsourcing Knowledge. - Petros Manousis, Dimitris Louvaris, Konstantinos Lambropoulos, George Kelantonakis, Chrysostomos Zeginis, Kostas Magoutis, Konstantinos Petridis, Konstantinos Kalampokis, Stelios Gkouskos:
ProximIoT: A Proximity-based Product Marketing Platform. - Kyriakos Koritsoglou, Petros Laskas, Vaios Patras, Ioannis Fudos:
Seek and Go: Data, Algorithms, and Interactive Tools for Pedestrian Navigation. - Konstantinos Charmanas, Konstantinos Georgiou, Nikolaos Mittas, Lefteris Angelis:
Unveiling technology clusters and prominent investors of home automation networking through patent analysis. - Giorgos Ioannou, Andrei Kazlouski, Thomas Marchioro, Maarten Gijssel:
Minimal wearable setup via sensor correlation: a case study of field hockey players. - Anh-Tu Hoang, Ahmed Lekssays, Barbara Carminati, Elena Ferrari:
Privacy-preserving Decentralized Learning of Knowledge Graph Embeddings.
6th International Workshop on Big Data Visual Exploration and Analytics (BigVis)
- Nikos Bikakis, Giorgos Giannopoulos, Nikolaos Sidiropoulos, Christina Flouda, Athanasios Doupas, Voula Giouli, Panagiotis Karioris, Paraskevi Botini, Anna Vacalopoulou, Gregory Stainhaouer:
Exposing Geospatial Cultural Heritage Content in Map-based Applications. - Ioannis Mavroudopoulos, Theodoros Toliopoulos, Anastasios Gounaris, Georgios Kynigopoulos, Andreas Andreadis, Ilias Kalfas:
HARVEST: a complete solution for smart agriculture monitoring. - Issei Fujishiro, Naoko Sawada, Makoto Uemura:
Clustering, Universalities, and Evolutionary Schema Design. - George Katsogiannis-Meimarakis, Christos Tsapelas, Georgia Koutrika:
Natural Language Data Interfaces: From Keyword Search to ChatGPT, are we there yet? - Vassilis Stamatopoulos, Stavros Maroulis, Konstantinos Kozanis, Ioannis Psarros, George Papastefanatos, Giorgos Giannopoulos, Manolis Terrovitis:
A Tool for Visual Exploration and Analysis of Solar Photovoltaic Module Data. - James Abello, Haoyang Zhang:
Graph Peeling Semantics.
5th International Workshop on Big Mobility Data Analytics (BMDA)
- Mohammad Abboud, Karine Zeitouni, Yehia Taher:
Enriching fixed stations air pollution monitoring with opportunistic mobile monitoring. - Mohammadreza Amini, Mahmoud Attia Sakr:
Context-Matching in Mobility Trajectories Using Particle Filters. - Mariana M. G. Duarte, Mahmoud Attia Sakr:
Outlier Detection and Cleaning in Trajectories: A Benchmark of Existing Tools. - Vinicius Monteiro de Lira, Fabiano Pallonetto, Lorenzo Gabrielli, Chiara Renso:
Predicting EV parking behaviour in shared premises. - Stamatis Stefanopoulos, Charilaos Akasiadis, Nikos Pelekis, Dimitris Zissis:
Scalable Distributed Trajectory Clustering Using Apache Spark. - Petros Mandalis, Eva Chondrodima, Yannis Kontoulis, Nikos Pelekis, Yannis Theodoridis:
Towards a Unified Vessel Traffic Flow Forecasting Framework. - Andreas Kouvaras, Dimitrios Tsouknidis, Alexander Artikis:
AIS Data Analytics for Shipping Business Decision-Making: A Short Survey. - Chris Conlan, Joe Oakley, Gunduz Vehbi Demirci, Alexandros Sfyridis, Hakan Ferhatosmanoglu:
Real-Time Spatio-Temporal Forecasting with Dynamic Urban Event and Vehicle-Level Flow Information. - Anita Graser, Anahid N. Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz:
Deep Learning From Trajectory Data: a Review of Deep Neural Networks and the Trajectory Data Representations to Train Them.
3rd Workshop on Conceptual Modeling for NoSQL Data Stores (CoMoNoS)
- Pablo Suárez-Otero, Michael J. Mior, María José Suárez Cabal, Javier Tuya:
Data migration in column family database evolution using MDE. - Alberto Hernández Chillón, Jesús García Molina, José Ramón Hoyos, María-José Ortín-Ibáñez:
Propagating Schema Changes to Code: An Approach Based on a Unified Data Model. - Anna Ravenschlag, Monique Denissen, Bianca Löhnert, Mateusz Pawlik, Nicole Alexandra Himmelstoß, Florian Hutzler:
Effective queries for mega-analysis in cognitive neuroscience.
5th International Workshop on Health Data Management in the Era of AI (HeDAI)
- Emil Riis Hansen, Tomer Sagi, Katja Hose:
Diagnosis Prediction over Patient Data using Hierarchical Medical Taxonomies. - Oguzhan Avci, Giuseppe Pozzi:
Is My Model Up-to-date? Detecting CoViD-19 Variants by Machine Learning. - Tanveer Khan, Khoa Nguyen, Antonis Michalas:
Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning. - Silvia M. Massa, Giovanni Usai, Daniele Riboni:
Monitoring Human Attention with a Portable EEG Sensor and Supervised Machine Learning. - Anastasia Pentari, Dimitrios Manousos, Thomas Kassiotis, George Rigas, Manolis Tsiknakis:
Respiration and heartbeat rates estimation using IR-UWB non-contact radar sensor recordings: A pre-clinical study. - Konstantinos Zioutos, Haridimos Kondylakis, Kostas Stefanidis:
SHARE: A Framework for Personalized and Healthy Recipe Recommendations. - Ioannis Tsampos, Emmanouil I. Marakakis:
A Medical Question Answering System with NLP and graph database.
EDBT PhD Workshop 2023
- Chiara Accinelli:
Discrimination-aware Data Transformations. - Johann Bornholdt:
A System for Trajectory Data Management and Analysis. - Alexander Brinkmann:
Neural Data Search for Table Augmentation. - George Christodoulou:
Efficient and Scalable Management of Interval Data. - Ninon De Mecquenem:
Adapting scientific workflows to changing infrastructures. - Thanasis Georgiadis:
Scalable Query Processing on Big Spatial Data. - Andreas Geyer:
Optimizing Analytical Query Processing on Disaggregated Hardware.
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last updated on 2024-07-17 21:36 CEST by the dblp team
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