LEADER 06275nam 22007215 450 001 9911127430003321 005 20260810153955.0 010 $a9783032343772 024 7 $a10.1007/978-3-032-34377-2 035 $a(CKB)50388531100041 035 $a(MiAaPQ)EBC32877717 035 $a(Au-PeEL)EBL32877717 035 $a(OCoLC)1610750855 035 $a(DE-He213)978-3-032-34377-2 035 $a(EXLCZ)9950388531100041 100 $a20260803d2027 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDatabase and Expert Systems Applications $e37th International Conference, DEXA 2026, Graz, Austria, August 11?13, 2026, Proceedings, Part II /$fedited by Robert Wrembel, Gabriele Kotsis, A Min Tjoa, Ismail Khalil 205 $a1st ed. 2027. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2027. 215 $a1 online resource (553 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v16860 311 08$a9783032343765 327 $a -- 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. 330 $aThe two-volume set LNCS constitutes the proceedings of the 37th International Conference on Database and Expert Systems Applications, DEXA 2026, held in Graz, Austria, in August 11?13, 2026. The 34 full and 20 short papers presented in this set together with 2 invited papers were carefully reviewed and selected from 123 submissions. They were organized in topical sections as follows: Part I: Knowledge Graphs and Graph Intelligence; Graph Data Management and Processing; Recommendation, Search and Information Retrieval; Large Language Models and Multi-Agent Systems; Data Governance, Quality and Integration; Database Systems and Query Processing. Part II: Storage Systems and Data Infrastructure; Machine Learning Foundations and Data Generation; Temporal Data Analytics and Forecasting; AI for IoT and Cybersecurity; Neural Networks and Applied AI; Systems, Security and Emerging Applications. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v16860 606 $aDatabase management 606 $aArtificial intelligence 606 $aApplication software 606 $aSoftware engineering 606 $aInformation storage and retrieval systems 606 $aData mining 606 $aDatabase Management 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 606 $aSoftware Engineering 606 $aInformation Storage and Retrieval 606 $aData Mining and Knowledge Discovery 615 0$aDatabase management. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aSoftware engineering. 615 0$aInformation storage and retrieval systems. 615 0$aData mining. 615 14$aDatabase Management. 615 24$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 615 24$aSoftware Engineering. 615 24$aInformation Storage and Retrieval. 615 24$aData Mining and Knowledge Discovery. 676 $a005.74 700 $aWrembel$b Robert$01423615 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911127430003321 996 $aDatabase and Expert Systems Applications$94822579 997 $aUNINA