Advances in Databases and Information Systems (eBook, PDF)

29th European Conference, ADBIS 2025, Tampere, Finland, September 23-26, 2025, Proceedings
Redaktion: Chrysanthis, Panos K.; Zhang, Zheying; Stefanidis, Kostas; Nørvåg, Kjetil

• Format: PDF

Produktbeschreibung

This book constitutes the proceedings of the 29th European Conference on Advances in Databases and Information Systems, ADBIS 2025, which took place in Tampere, Finland, during September 23-26, 2025.

The 14 full papers included in this proceedings book were carefully reviewed and selected from 66 submissions. The book also contains 4 tutorial papers. The selected papers span a large spectrum of topics in the broader field of data management focusing on Query Optimization, Explainable AI, Entity Resolution and Integration, Data and Machine Learning, Spatio-Temporal and Graph Data, and Data Sharing and Synthesis.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 290
• Erscheinungstermin: 18. September 2025
• Englisch
• ISBN-13: 9783032052810
• Artikelnr.: 75479719

Inhaltsangabe

.- Keynote Talk.

.- Data Quality (Assessment) in the Age of AI.

.- Query Optimization.

.- Independence Rules: Analysis of Nine Simple Cardinality Estimators and Their Impact on Plan Quality.

.- Vector Database Benchmarking: A Face Retrieval Use Case.

.- PUL: Pre-load in Software for Caches Wouldn't Always Play Along.

.- Explainable AI.

.- Responsible AI: Training deep learning model efficiently.

.- Exploring local feature influences with Hierarchical Explanation Trees.

.- Towards Trace Variant Explainability.

.- Evaluating Knowledge Generation and Self-Refinement Strategies for LLM-based Column Type Annotation.

.- Entity Resolution & Integration.

.- LSBlock: A Hybrid Blocking System Combining Lexical and Semantic Similarity Search for Record Linkage.

.- Evaluating Quality of Disparate Data Sources: A Discord-Driven Approach.

.- Pasteur: Scaling Privacy-aware Data Synthesis.

.- Generating Semantically Enriched Mobility Data from Travel Diaries.

.- Data & Machine Learning.

.- Learning a Distance for the Stratification of Patients with Amyotrophic Lateral Sclerosis.

.- Designing Efficient and Scalable Substructure Discovery Algorithms for Multilayer Networks.

.- Bitemporal Property Graphs: dealing with both valid and transaction time.

.- Tutorials.

.- Graph Analytics for Bridging Human and Data Sciences.

.- Data Warehousing: The Industrial Perspective.

.- Vector Representations of Multi-Modal Data.

.- Utilizing Quantum Computing to Improve the Quality of Data.