Advances in Databases and Information Systems 28th European Conference, ADBIS 2024, Bayonne, France, August 28–31, 2024, Proceedings /

This volume LNCS 14918 constitutes the refereed proceedings of 28th European Conference, ADBIS 2024, held in Bayonne, France, during August 28-31, 2024. The 15 full papers presented were carefully reviewed and selected from 43 submissions. The conference focuses on Algebra, Models, Schemata, Discove...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Tekli, Joe (Editor), Gamper, Johann (Editor), Chbeir, Richard (Editor), Manolopoulos, Yannis (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edition:1st ed. 2024.
Series:Lecture Notes in Computer Science, 14918
Subjects:
Online Access:https://doi.org/10.1007/978-3-031-70626-4
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505 0 |a 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 (Δ,γ) 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. 
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