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ORCID27th ADBIS 2023 Short Papers: Barcelona, Spain
- Alberto Abelló
, Panos Vassiliadis, Oscar Romero, Robert Wrembel, Francesca Bugiotti, Johann Gamper, Genoveva Vargas-Solar, Ester Zumpano:
New Trends in Database and Information Systems - ADBIS 2023 Short Papers, Doctoral Consortium and Workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4-7, 2023, Proceedings. Communications in Computer and Information Science 1850, Springer 2023, ISBN 978-3-031-42940-8
Index Management and Data Reconstruction
- Mihalis Tsoukalos, Nikos Platis, Costas Vassilakis:
Estimating iSAX Parameters for Efficiency. 3-12 - Fouad Achkouty, Elio Mansour, Laurent Gallon, Antonio Corral, Richard Chbeir:
RILCE: Resource Indexing in Large Connected Environments. 13-22
Query Processing
- Mira El Danaoui, Shaoyi Yin, Abdelkader Hameurlain, Franck Morvan:
A Cost-Effective Query Optimizer for Multi-tenant Parallel DBMSs. 25-34 - Hafsa Billah, Abhishek Santra, Sharma Chakravarthy:
Video Situation Monitoring to Improve Quality of Life. 35-45 - Anna Baskin, Scott Heyman, Brian T. Nixon, Constantinos Costa, Panos K. Chrysanthis:
Remembering the Forgotten: Clustering, Outlier Detection, and Accuracy Tuning in a Postdiction Pipeline. 46-55
Advanced Querying Techniques
- Hassan Abedi Firouzjaei, Dhruv Gupta, Kjetil Nørvåg:
Diversification of Top-k Geosocial Queries. 59-70 - Vincent-nam Dang, Nathalie Aussenac-Gilles, Franck Ravat:
Multi-disciplinary Research: Open Science Data Lake. 71-81 - Sandro Bimonte, Patrick Marcel, Stefano Rizzi:
Be High on Emotion: Coping with Emotions and Emotional Intelligence when Querying Data. 82-91
Fairness in Data Management
- Alexandros Karakasidis, Georgia Koloniari:
Exploring Biases for Privacy-Preserving Phonetic Matching. 95-105 - Rodrigo Borges, Otto Sahlgren, Sami Koivunen, Kostas Stefanidis, Thomas Olsson, Arto Laitinen:
Multi-Objective Fairness in Team Assembly. 106-116
Data Science
- Zakarya Farou, Mohamed Aharrat, Tomás Horváth:
A Comparative Study of Assessment Metrics for Imbalanced Learning. 119-129 - Shwetha Salimath, Francesca Bugiotti, Frédéric Magoulès:
A Hybrid GNN Approach for Predicting Node Data for 3D Meshes. 130-139 - Lahcen Yamoun, Zahia Guessoum, Christophe Girard:
Transformers and Attention Mechanism for Website Classification and Porn Detection. 140-149 - Hamid Mousavi, Ali Zoljodi, Masoud Daneshtalab:
Analysing Robustness of Tiny Deep Neural Networks. 150-159
Temporal Graph Management
- Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau:
Semantic Centrality for Temporal Graphs. 163-173 - Alexander Graß, Christian Beecks, Sisay Adugna Chala, Christoph Lange, Stefan Decker:
A Knowledge Graph for Query-Induced Analyses of Hierarchically Structured Time Series Information. 174-184
Consistent Data Management
- Joachim Thomassen, Weihai Yu:
Eventually-Consistent Replicated Relations and Updatable Views. 187-196 - Anna Dalla Vecchia, Niccolò Marastoni, Sara Migliorini, Barbara Oliboni, Elisa Quintarelli:
Mining Totally Ordered Sequential Rules to Provide Timely Recommendations. 197-207
Data Integration
- Chiara Forresi, Matteo Francia, Enrico Gallinucci, Matteo Golfarelli:
Streaming Approach to Schema Profiling. 211-220 - Ralph Peeters, Christian Bizer:
Using ChatGPT for Entity Matching. 221-230 - Kevin Wu, Jing Zhang, Joyce C. Ho:
CONSchema: Schema Matching with Semantics and Constraints. 231-241
Data Quality
- Flavia Serra, Verónika Peralta, Adriana Marotta, Patrick Marcel:
Context-Aware Data Quality Management Methodology. 245-255 - Maxime Perrot, Mickaël Baron, Brice Chardin, Stéphane Jean:
Thesaurus-Based Transformation: A Classification Method for Real Dirty Data. 256-265
Metadata Management
- Quim Motger, Xavier Franch, Jordi Marco:
Mobile Feature-Oriented Knowledge Base Generation Using Knowledge Graphs. 269-279 - Maryam Mozaffari, Anton Dignös, Hind Hamrouni, Johann Gamper:
NoSQL Schema Extraction from Temporal Conceptual Model: A Case for Cassandra. 280-290
Contributions from ADBIS 2023 Workshops and Doctoral Consortium
- Adam Przybylek, Aleksandra Karpus, Allel Hadjali, Anton Dignös, Carmem S. Hara, Danae Pla Karidi, Ester Zumpano, Fabio Persia, Genoveva Vargas-Solar, George Papastefanatos, Giancarlo Sperlì, Giorgos Giannopoulos, Ivan Lukovic, Julien Aligon, Manolis Terrovitis, Marek Grzegorowski, Mariella Bonomo, Mirian Halfeld Ferrari Alves, Nicolas Labroche, Paul Monsarrat, Richard Chbeir, Sana Sellami, Seshu Tirupathi, Simona E. Rombo, Slavica Kordic, Sonja Ristic, Tommaso Di Noia, Torben Bach Pedersen, Vincenzo Moscato:
Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium. 293-311
AIDMA: 1st Workshop on Advanced AI Techniques for Data Management, Analytics
- Elodie Escriva, Emmanuel Doumard, Jean-Baptiste Excoffier, Julien Aligon, Paul Monsarrat, Chantal Soulé-Dupuy:
Data Exploration Based on Local Attribution Explanation: A Medical Use Case. 315-323 - Pronaya Prosun Das, Lena Wiese:
Explainability Based on Feature Importance for Better Comprehension of Machine Learning in Healthcare. 324-335 - Tamás Janusko, Julius Gonsior, Maik Thiele:
An Empirical Study on the Robustness of Active Learning for Biomedical Image Classification Under Model Transfer Scenarios. 336-347 - Joakim Lindén, Håkan Forsberg, Masoud Daneshtalab, Ingemar Söderquist:
Evaluating the Robustness of ML Models to Out-of-Distribution Data Through Similarity Analysis. 348-359 - Søren Kejser Jensen, Christian Thomsen:
Holistic Analytics of Sensor Data from Renewable Energy Sources: A Vision Paper. 360-366
DOING: 4th Workshop on Intelligent Data - From Data to Knowledge
- Heloisa Fernanda Rocha, Lorena Silva Nascimento, Leonardo Camargo, Mauricio Noernberg, Carmem S. Hara:
Labeling Portuguese Man-of-War Posts Collected from Instagram. 369-381 - Muhammad Arslan, Christophe Cruz:
Semantic Business Trajectories Modeling and Analysis. 382-392 - Deperias Kerre, Anne Laurent, Kenneth Maussang, Dickson Owuor:
A Text Mining Pipeline for Mining the Quantum Cascade Laser Properties. 393-406 - Yousra Bouakba, Hacene Belhadef:
Ensemble Learning Based Quantum Text Classifiers. 407-414 - Hacene Belhadef, Hala Benchiheb, Lynda Lebdjiri:
Exploring the Capabilities and Limitations of VQC and QSVC for Sentiment Analysis on Real-World and Synthetic Datasets. 415-424
K-Gals: 2nd Workshop on Knowledge Graphs Analysis on a Large Scale
- Xiuwen Zheng, Subhasis Dasgupta, Amarnath Gupta:
P2KG: Declarative Construction and Quality Evaluation of Knowledge Graph from Polystores. 427-439 - Giorgio Grani, Lorenzo Di Rocco, Umberto Ferraro Petrillo:
Using Knowledge Graphs to Model Green Investment Opportunities. 440-451 - Ylenia Galluzzo, Francesco Gennusa:
Knowledge Graphs Embeddings for Link Prediction in the Context of Sustainability. 452-464 - Karlis Rokis, Marite Kirikova:
An ArchiMate-Based Thematic Knowledge Graph for Low-Code Software Development Domain. 465-476 - Mariella Bonomo, Francesco Ippolito, Salvatore Morfea:
A Knowledge Graph to Analyze Clinical Patient Data. 477-484
MADEISD: 5th Workshop on Modern Approaches in Data Engineering, Information System Design
- Goran Banjac, Drazen Brdjanin, Danijela Banjac:
Towards Automatic Conceptual Database Design Based on Heterogeneous Source Artifacts. 487-498 - Jakub Perdek, Valentino Vranic:
Lightweight Aspect-Oriented Software Product Lines with Automated Product Derivation. 499-510 - Dominik Kwiatkowski, Tomasz Dziubich:
Comparison of Selected Neural Network Models Used for Automatic Liver Tumor Segmentation. 511-522 - Michal Matczak, Tomasz Czochanski:
Intelligent Index Tuning Using Reinforcement Learning. 523-534 - Lucia de Espona Pernas, Anton Vichalkovski, William Steingartner, Ela Pustulka:
Automatic Indexing for MongoDB. 535-543 - William Steingartner, Igor Sivý:
From High-Level Language to Abstract Machine Code: An Interactive Compiler and Emulation Tool for Teaching Structural Operational Semantics. 544-551 - Marina Paldauf:
Decentralised Solutions for Preserving Privacy in Group Recommender Systems. 552-560
PeRS: 2nd Workshop on Personalization, Recommender Systems
- Ghassen Frikha, Xavier Lorca, Hervé Pingaud, Adel Taweel, Christophe Bortolaso, Katarzyna Borgiel, Elyes Lamine:
A Recommendation System for Personalized Daily Life Services to Promote Frailty Prevention. 563-574 - Michaela Ochs, Tobias Hirmer, Katherina Past, Andreas Henrich:
Design-Focused Development of a Course Recommender System for Digital Study Planning. 575-582 - Paulina Leszczelowska, Maria Bollin, Marcin Grabski:
Systematic Literature Review on Click Through Rate Prediction. 583-590 - Stanislav Kuznetsov, Pavel Kordík:
Overcoming the Cold-Start Problem in Recommendation Systems with Ontologies and Knowledge Graphs. 591-603 - Olga Cherednichenko, Muhammad Fahad:
Recommender Chatbot as a Tool for Collaborative Business Intelligence in Tourism Domain. 604-611 - Dariusz Kobiela, Jan Groth, Michal Sieczczynski, Rafal Wolniak, Krzysztof Pastuszak:
Neural Graph Collaborative Filtering: Analysis of Possibilities on Diverse Datasets. 612-619 - Aleksandra Galka, Jan Grubba, Krzysztof Walentukiewicz:
Performance and Reproducibility of BERT4Rec. 620-628
Doctoral Consortium
- Simona Nisticò:
Towards Reliable Machine Learning. 631-638 - Erica Coppolillo:
Tackling the RecSys Side Effects via Deep Learning Approaches. 639-646 - Alejandro Adorjan:
Towards a Researcher-in-the-loop Driven Curation Approach for Quantitative and Qualitative Research Methods. 647-655 - Federico Candela:
Deep Learning Techniques for Television Broadcast Recognition. 656-667 - Simona Fioretto:
Process Mining Solutions for Public Administration. 668-675 - Enea Vincenzo Napolitano:
Intelligent Technologies for Urban Progress: Exploring the Role of AI and Advanced Telecommunications in Smart City Evolution. 676-683 - Omar Ghannou:
Automatic Discovery of Zones of Interests with Maritime Trajectory Mining. 684-692
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