Database and Expert Systems Applications

37th International Conference, DEXA 2026, Graz, Austria, August 11–13, 2026, Proceedings, Part II
Erscheinungsjahr 2026
ISBN: 978-3-032-34376-5
Verlag: Springer

Buch, Englisch, 342 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Computer Science

The two-volume set LNCS constitutes the proceedings of the 37th International Conference on Database and Expert Systems Applications, DEXA 2026, held in Graz, Austria, in August 11–13, 2026.

The 34 full and 20 short papers presented in this set together with 2 invited papers were carefully reviewed and selected from 123 submissions. They were organized in topical sections as follows:

Part I: Knowledge Graphs and Graph Intelligence; Graph Data Management and Processing; Recommendation, Search and Information Retrieval; Large Language Models and Multi-Agent Systems; Data Governance, Quality and Integration; Database Systems and Query Processing.

Part II: Storage Systems and Data Infrastructure; Machine Learning Foundations and Data Generation; Temporal Data Analytics and Forecasting; AI for IoT and Cybersecurity; Neural Networks and Applied AI; Systems, Security and Emerging Applications.

Zielgruppe

Research

Autoren/Hrsg.

Wrembel, Robert

Kotsis, Gabriele

Tjoa, A Min

Khalil, Ismail

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Information Retrieval
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse

Inhaltsverzeichnis

.- Storage Systems and Data Infrastructure.

.- HABU: Efficient Asynchronous and Bulk Updates for Online ANN Search.

.- Improving IO Efficiency for Storage-scale Approximate Nearest Neighbor Search.

.- Adaptive Delay Fusion for Proactive Lag Control in Asynchronous Replication.

.- ST-MTLSM: A Device-Partitioned Multi-Tier LSM-Tree with Non-Blocking 
Snapshot Publication for Massive Spatio-Temporal IoT Data.

.- Scalable Concurrency Control for R-Trees on Three-tier Storage with PMEM.

.- Machine Learning Foundations and Data Generation.

.- Drift Adaptation as Supervision Routing under Heterogeneous Costs.

.- Clustering-Guided Oversampling and Geometric Validation for Imbalanced 
Learning.

.- A Label Selection Algorithm with Boolean Interpolative Matrix Decomposition 
for Multi-label Learning.

.- Counterfactual Generative Adversarial Network for Data Augmentation.

.- SynGenEva: A Generator-Agnostic Evaluation Protocol for Synthetic Tabular 
Data.

.- Temporal Data Analytics and Forecasting.

.- Efficient Detection of Seasonal Bursts: Applications to Climate Time Series.

.- A Feature Engineering Pipeline for Non-Stationary Financial Time Series: A 
ZigZag-Based Approach to Forex Decision Support.

.- A Dual-Faceted Framework for Modeling Temporal Semantic Sequences.

.- PhenoNorm: A Phenology-Aligned Framework for Robust Multi-Country Crop 
Yield Prediction.

.- AI for IoT and Cybersecurity. 

.- WassDRO-AD: Distributionally Robust Anomaly Detection for Multivariate IoT 
Data Streams.

.- Context-Aware Root Cause Identification in IoT Sensor Data via Semantic
Enhanced Anomaly Analysis.

.- Network Anomaly Detection through ILP-Based Symbolic Distillation of 
Autoencoder Models into Datalog Programs.

.- XKG-IDS: Symbolic Graph Learning for Intrinsically Explainable IoT Intrusion 
Detection.

.- Neural Networks and Applied AI.

.- Deep Learning Techniques to Enhance Multimodal Single Cell Analysis.

.- Detecting Lost Hikers in Low Mountains by Multi-Granularity User Behavior 
Modeling.

.- A unified multi-branch framework for real-time multi-rate CNC anomaly 
detection: classical vs deep learning models.

.- Budget-Aware Local-Global Fusion for Object Detection on Edge Devices.

.- Systems, Security and Emerging Applications.

.- XPOSE: Bi-directional Engineering for Hidden Query Extraction.

.- Locki: Neural Networks That Only Behave When Unlocked via Runtime 
Decryption.

.- Passwordless Authentication in the Face of AI and Quantum Computing Threats: 
A Review of Selected Methods and Threat Analysis.

.- An Energy-Aware Multi-Oracle Architecture Integrating Grid Feasibility 
Constraints for Peer-to-Peer Energy Trading.

.- SMART-DAI: A Cloud/Edge Big Data Computing Platform for Supporting 
Multidimensional Big Data Analytics in Advanced Artificial Intelligence 
Applications.

.- I/O Efficient Algorithms for Sparse Matrix Multiplication and Addition.