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.
Edited by:
Panos K. Chrysanthis, Kjetil Nørvåg, Kostas Stefanidis, Zheying Zhang Imprint: Springer Nature Switzerland AG Country of Publication: Switzerland Dimensions:
Height: 235mm,
Width: 155mm,
ISBN:9783032052803 ISBN 10: 3032052807 Series:Lecture Notes in Computer Science Pages: 290 Publication Date:19 September 2025 Audience:
College/higher education
,
Professional and scholarly
,
Further / Higher Education
,
Undergraduate
Format:Paperback Publisher's Status: Active
.- 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.