Del i serien Lecture Notes in Computer Science

Advances in Databases and Information Systems

28th European Conference, ADBIS 2024, Bayonne, France, August 28–31, 2024, Proceedings

Häftad, Engelska, 2024

AvJoe Tekli,Johann Gamper,Richard Chbeir,Yannis Manolopoulos

2 169 kr

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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.

Produktinformation

Utgivningsdatum2024-10-03
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor231
FörlagSpringer International Publishing AG
ISBN9783031706288

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Programmeringsböcker inom Data och IT
Artificiell intelligens inom Data och IT
Databaser inom Data och IT

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.