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Advances in Databases and Information Systems -

Advances in Databases and Information Systems

29th European Conference, ADBIS 2025, Tampere, Finland, September 23–26, 2025, Proceedings
Buch | Softcover
XXI, 290 Seiten
2025
Springer International Publishing (Verlag)
978-3-032-05280-3 (ISBN)
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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.

.- 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.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XXI, 290 p. 95 illus., 79 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Schlagworte Access Methods • Data Exploration • data management systems • Data Quality • Data Science • Fairness • information systems • Large Language Models • machine learning • query processing
ISBN-10 3-032-05280-7 / 3032052807
ISBN-13 978-3-032-05280-3 / 9783032052803
Zustand Neuware
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