Buch, Englisch, Band 14918, 231 Seiten, Format (B × H): 155 mm x 235 mm
28th European Conference, ADBIS 2024, Bayonne, France, August 28–31, 2024, Proceedings
Buch, Englisch, Band 14918, 231 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-70628-8
Verlag: Springer
28th European Conference, ADBIS 2024, held in Bayonne, France, during August 28-31, 2024.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
- Mathematik | Informatik EDV | Informatik Technische Informatik
Weitere Infos & Material
Algebra, Models, Schemata.- JSON Model a Lightweight Featureful DSL for JSON.- A Data Model and Predicate Logic for Trajectory Data.- Evaluating a Temporal Relational Algebra supporting Preferences in Temporal Relational Databases.- PG FD Mapping Functional Dependencies to the Future Property Graph Schema Standard.- Discovery and Data Analysis.- Generating SPARQL Queries for Data Discovery.- Algorithms and Optimization.- A Recursive Approach for Maximal (?,?) Clique Enumeration in Temporal Networks.- Influential Billboard Slot Selection under Zonal Influence Constraint.- Amethyst A Generalized on the fly De Recompression Framework to Accelerate Data intensive Integer Operations on GPUs.- Access Methods and Query Processing.- GXJoin Generalized Cell Transformations for Explainable Joinability.- Density Based Learned Spatial Index for Clustered Data.- Advanced Architectures.- Coordination Free Parallel and Replicated Datalog Streams.- On the fly Data Distribution to Accelerate Query Processing in Heterogeneous.- Enhancing Machine Learning Capabilities in Data Lakes with AutoML and LLMs.- Machine Learning.- BBQ Tree A Decision Tree with Boolean and Quantum Logic Decisions.- Large Language Models.- Using LLMs for the Extraction and Normalization of Product Attribute Values.
