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ORCID28th ADBIS 2024 Short Papers: Bayonne, France
- Joe Tekli
, Johann Gamper, Richard Chbeir, Yannis Manolopoulos, Salma Sassi, Mirjana Ivanovic, Genoveva Vargas-Solar, Ester Zumpano:
New Trends in Database and Information Systems - ADBIS 2024 Short Papers, Workshops, Doctoral Consortium and Tutorials, Bayonne, France, August 28-31, 2024, Proceedings. Communications in Computer and Information Science 2186, Springer 2025, ISBN 978-3-031-70420-8
Short Papers
- Vadim Arzamasov, Klemens Böhm:
A Reproducibility Study of Subgroup Discovery Algorithms. 3-13 - Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Panos Vassiliadis:
Interestingness Measures for Exploratory Data Analysis: a Survey. 14-24 - Luana Pereira dos Reis, Daniel S. Kaster:
A Compact and Efficient Data Structure for Line-Based Processing of Series of Raster Data. 25-34 - Michail Zervas, Alexandros Karakasidis:
FedeM: Federated Learning-Based Privacy-Preserving Record Matching. 35-45 - Mihalis Tsoukalos, Pantelis Chronis, Nikos Platis, Costas Vassilakis:
Estimating MPdist with SAX and Machine Learning. 46-57 - Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Erika Duriakova, Honghui Du, Neil Hurley, Aonghus Lawlor:
Entity Matching with Large Language Models as Weak and Strong Labellers. 58-67 - Fabian Biester, Mohamed Abdelaal, Daniel Del Gaudio:
LLMClean: Context-Aware Tabular Data Cleaning via LLM-Generated OFDs. 68-78
DOING 2024: 5th Workshop on Intelligent Data - From Data to Knowledge
- Gerard Pons, Miona Dimic, Besim Bilalli:
Capturing Analytical Intents from Text. 81-94 - Heloisa Fernanda Rocha, Carlos A. Prolo, Aurora T. R. Pozo, Carmem S. Hara:
The Effect of Text Normalization on Mining Portuguese Man-of-War Instagram Posts. 95-103 - Jacques Chabin, Mírian Halfeld Ferrari, Lingchen Wang:
A Preliminary Investigation: Strategies for Incorporating Logical Rules Into Knowledge Graph Embeddings. 104-116 - Márcia Jacobina Andrade Martins, Claudia Bauzer Medeiros:
Construction of Open Data Sources for Data Interoperability in Brazilian Health Information Systems. 117-129 - Tiago Toledo Junior, Diego Raphael Amancio, Roseli Aparecida F. Romero:
Brazilian Political Study with Topics Analysis and Complex Networks. 130-141
K-GALS 2024: 3rd Workshop on Knowledge Graphs Analysis on a Large Scale
- Mírian Halfeld Ferrari, Anne-Lyse Minard, Genoveva Vargas-Solar:
Transforming Text Into Knowledge with Graphs: Report of the GDR MADICS DOING Action. 145-159 - Vaaruni Desai, Yinglan Chi, Jon Stephens, Amarnath Gupta:
Building Model-Driven Knowledge Graphs via Large Language Models. 160-172
MADEISD 2024: 6th Workshop on Modern Approaches in Data Engineering and Information System Design
- Kornelije Rabuzin, Maja Cerjan, Mislav Jaksic:
Process Mining in Croatia's Judicial Auctions. 175-194 - Marija Dukic, Milica Skembarevic, Olga Jejic, Ivan Lukovic:
Towards the Utilization of AI-Powered Assistance for Systematic Literature Review. 195-205 - Niki Hrovatin, Aleksandar Tosic:
Estimating Information Efficiency of Bitcoin Inscriptions. 206-212 - Mateusz Erezman, Tomasz Dziubich:
Deep Learning-Based Cellular Nuclei Segmentation Using Transformer Model. 213-224 - Elena Akik, Marko Vjestica, Vladimir Dimitrieski, Slavica Kordic, Sonja Ristic:
Towards a Model-Driven Approach to Enable Uniform Access to Vector Databases. 225-237 - Danijela Banjac, Milica Matic, Nedeljko Cvijanovic, Drazen Brdjanin, Goran Banjac, Djordje Stojisavljevic:
Employing Multiple Online Translation Services in a Multilingual Database Design Tool. 238-249
PERS 2024: 3rd Workshop on Personalization and Recommender Systems (PERS)
- Olga Cherednichenko, Oleksandr Sutiahin:
Development of Collaborative Business Intelligence Framework for Tourism Domain Analysis. 253-262 - Justyna Glogowska, Dariusz Kobiela, Szymon Mielewczyk:
Session-Based Recommendation with Graph Neural Networks with an Examination of the Impact of Local and Global Vectors. 263-272 - Ghassen Frikha, Xavier Lorca, Hervé Pingaud, Adel Taweel, Christophe Bortolaso, Katarzyna Borgiel, Elyes Lamine:
Senselife: Service Recommendation and Frailty Prevention Through Knowledge Models. 273-285 - Haider Zulfiqar, Emilia Lenzi, Kostas Stefanidis:
Evaluating Diversity in Sequential Group Recommendations. 286-298
ADBIS DC 2024: Doctoral Consortium
- Ilaria Lazzaro:
Using Graph Theory for Clinical Data Management. 301-308 - Candida Maria Greco:
Advancing Legal NLP: Application of Pre-trained Language Models in the Legal Domain. 309-317 - Lorella Bottino:
An Application for Scoliosis Screening and Follow-Up: A First Proposal. 318-324 - Maria Chiara Martinis:
Negation Detection in Italian: A Key Challenge in Sentiment Analysis. 325-330 - Mihailo Ilic:
Optimizing Federated Learning and Increasing Efficiency. 331-336 - Barbara Puccio:
Integrating Pseudo-time Series Analysis Into Telemedicine: Enhancing Real-Time Disease Monitoring and Intervention. 337-342 - Tommaso Ruga:
Classifying Chest X-Ray Images with Deep Learning Techniques: Challenges and Explainable Analysis. 343-350 - Luca Barillaro:
Scalable Deep Learning: Applications in Medicine. 351-356 - Jamsher Bhanbhro:
Towards More Efficient and Improved Federated Learning. 357-365 - Fedra Rosita Falvo:
Development of Explainable AI Methods for the Interpretation of Machine Learning Models in Bioinformatics and Medicine. 366-371 - khushal Das:
Deep Learning Techniques for Predicting Wildfires in Calabria Italy Using Environmental Parameters. 372-379
Tutorials
- Zheying Zhang, Kostas Stefanidis:
Data-Driven Analysis for Monitoring Software Evolution. 383-391 - Witold Andrzejewski, Bartosz Bebel, Pawel Boinski, Robert Wrembel:
On Customer Data Deduplication - Research vs. Industrial Perspective: - Lessons Learned from a R&D Project in the Financial Sector. 392-400
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