| IDEAS 2024 – Bayonne from August 28th to August 31th | |||||
| Program | |||||
| Wednesday, August 28th, 2024 | Thursday, August 29th, 2024 | ||||
| Main conference sessions | Main conference sessions | ||||
| Regisration | 14:00-14:30 | Opening | 9:30-10:30 | Plenary – Christian S. Jensen | Regisration |
| 14:30-15:30 | Session1 | ||||
| 15:30-16:00 | Coffee break | 10:30-11:00 | Coffeee break | ||
| 16:00-17:00 | Session2 | 11:00-12:00 | Plenary – Rita Bencivenga | ||
| 17:00-18:30 | Session3 | 12:00-13:30 | Session4 | ||
| 18:30-20:30 | Reception | 13:30-15:00 | Lunch break | ||
| 15:00-16:30 | Session5 | ||||
| 20:00-22:00 | Conference dinner | ||||
| Friday, August 30th, 2024 | Saturday, August 31th, 2024 | ||||
| Main conference sessions | Conference social program | ||||
| Regisration | 9:00-10:00 | Plenary – Schahram Dustdar | 09:00-13:30 | Basque Country Discovery (lunch included) |
|
| 10:00-11:00 | Plenary – Angela Bonifati | ||||
| 11:00-11:30 | Coffee break | ||||
| 11:30-12:30 | Session6 | ||||
| 12:30-14:00 | Lunch break | ||||
| 14:00-15:00 | Session7 | ||||
| 15:00-16:00 | DEI Panel | ||||
| 16:00-16:15 | Coffee break | ||||
| 16:15-17:45 | Session8 | ||||
| 17:45-18:15 | Closing | ||||
| SESSION 1 (Anna Sasak-Okoń <[email protected]>) | Theoretical Issues |
| Anton Dolhopolov, Arnaud Castelltort and Anne Laurent | Verifiable and Friendly Metadata Management: Formal Blockchain to Property Graph Mapping |
| Randi Karlsen and Anders Andersen | How to Trigger Personalized and Context-Aware Nudges |
| SESSSION 2 (Anton Dolhopolov <[email protected]>) | Classification |
| Aissa Ben Yahya, Hicham El Akhal and Abdelbaki El Belrhiti El Alaoui | Enhanced Classification of Embedded System Vulnerabilities Using Ensemble Embedding and BiLSTM Networks |
| Giacomo Bergami | Predicting Dyskinetic Events through Verified Multivariate Time Series Classification |
| Hemn Abdalla | R2-LGBM: Sales Informative Prediction System in E-Commerce Application Using Ensemble Classifier |
| SESSSION 3 (Marwan Hassani <[email protected]>) | Text and Languages |
| Daniel Schafer and Peter Revesz | Comparing Related Languages with a Fuzzy Morphism Matching Algorithm |
| Jordan Nelson, Michalis Pavlidis, Andrew Fish and Nikolaos Polatidis | Enhancing LLM code generation using natural language processing, in the contexts of machine learning |
| Oliver Robert Fox, Giacomo Bergami and Graham Morgan | LaSSI: Logical, Structural, and Semantic text Interpretation |
| Robert Aufschläger, Sebastian Wilhelm, Michael Heigl and Martin Schramm | ClustEm4Ano: Clustering Text Embeddings of Nominal Textual Attributes for Microdata Anonymization |
| SESSION 4 (Giacomo Bergami <[email protected]>) | Big Data |
| Ahlame Diouan, Eric Ferey, Jérôme Darmont and Sabine Loudcher | About relationships in Data Lakes |
| Alfredo Cuzzocrea, Abderraouf Hafsaoui and Carmine Gallo | From Theory to Practice of Multidimensional Big Data Analytics over Big Healthcare Data: A Real-Life Case Study |
| Carson Leung, Fengfan Bian, Piers Grenier, Samuel Ning and Harry Pu | Big Data Analytics for Tornado Climatology and Predictions |
| Stéphane Campinas, Matteo Catena and Renaud Delbru | Siren Federate: Bridging the Gap between Document and Relational Data Systems for Efficient Exploratory Graph Analysis |
| SESSION 5 (Matteo Catena <[email protected]>) | Query Processing and Applications |
| Himanshu Choudhary, Ahmad B. Alkhodre and Marwan Hassani | Outlier-Weighted Traffic Flow Prediction using Online AutoEncoders |
| Anna Sasak-Okoń | Speculative Query Support for RDBMS with Flexible Query Order and Benefit Verification |
| Daniel Flachs and Guido Moerkotte | Made to Measure: Towards Approximability of Query Evaluation Engines |
| Taehoon Kim, Wijae Cho and Kyoung-Sook Kim | DGGS-based Continuous Trajectory Similarity Comparison |
| SESSION 6 (Alfredo Cuzzocrea <[email protected]>) | Machine Learning and Rules |
| Claudia Diamantini, Tarique Khan, Alex Mircoli and Domenico Potena | Predictive Modeling of Key Performance Indicators for Greenhouse Gas Emission Reduction Using Machine Learning |
| Natacha Targino, Damires Souza and Ana Carolina Salgado | Provenance in ML Pipelines: Modeling and Association with Transparency and Accountability |
| Stefan Dzalev and Goran Velinov | Validation Without Rules: A Data Integration Case Study |
| SESSION 7 (Tarique Khan <[email protected]>) | Recommendation |
| Muhammad Shahzaib Ali and Kostas Stefanidis | Fairness in Group Recommender Systems Using Variational Autoencoders |
| Padipat Sitkrongwong and Atsuhiro Takasu | A Supervised Contrastive Learning Framework for Aspect-Based Recommendations |
| Uzair Ahmed and Kostas Stefanidis | Multi-Attribute Bias Mitigation in Recommender Systems |
| SESSION 8 | Indexing and Event detection |
| Alireza Heidari, Amirhossein Ahmadi and Wei Zhang | UpLIF: An Updatable Self-Tuning Learned Index Framework |
| Saranya C and S. Sudarshan | Scheduling of Intermittent Query Processing |
| Saidu Oseni, Hameed Bashiru, Rasheed Lawal, Ayobami Ajayi, Olamide Akintaro and Kamran Munir | Monitoring Environmental Factors for Optimal Health and Welfare of Broiler Chickens Using Sensor Technology in Southwest Nigeria |
| Sirri Naoufal | River Levels Affecting Firefighter Interventions: Factor Analysis |
