Web and Big Data
Springer Verlag, Singapore
978-981-95-5715-8 (ISBN)
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The 136 full papers and 15 short papers presented in these proceedings were carefully reviewed and selected from 472 submissions. The papers are organized in the following topical sections:
Part I: Data Mining I; Machine Learning I; Information Retrieval and Knowledge Management I; Graph Data Management andAnalytics I; Complex Data Management.
Part II: Complex Data Management; Spatial and Temporal Data Management; Data Privacy and Trusted AI; Data Management on New Hardwares; Query Processing and Optimization; Data Mining II.
Part III: Data Mining II; Machine Learning II; Information Retrieval and Knowledge Management II; Graph Data Management andAnalytics II; Big Data Management.
Part IV: Big Data Management; LLM for Data Management; Information Retrieval; Demonstration Paper; Industry Paper.
.- Complex Data Management.
.- LSM-Cache:An Efficient Log-Structured Merge Hybrid Key-Value Cache for Massive Small Objects.
.- Monkey: Segmentation-based Lossless Floating-Point Compression.
.- DataAugmentation based Federated Client Selection with Bandit Approach.
.- Text-to-Image Person Re-Identification via Optimal Transport-based Priority Distribution.
.- GRAY: Enhancing Few-Shot NL2SQLTranslation through Incremental SQL Log-Based Demonstration Expansion.
.- RS-Stega: AToken-Level Quality-Control Framework for Generative Text Steganography.
.- TrustGenTable: ATrusted Method for Generating Tabular Data.
.- Enhancing Merge-Based PLA∞ Compression under Higher Requirement for Data Precision.
.- High-Performance Complex Event Matching over Out-of-Order Event Streams.
.- Enhancing Data Compression through Vertical Distance-Based Piecewise LinearApproximation.
.- Spatial and Temporal Data Management.
.- PTP-PGAT: Partition Transition Probability and Pretraining Graph Attention Networks for Trajectory
Representation.
.- Efficient Processing of Dynamic Rank-happiness Maximization Queries.
.- Aparameter efficient short-term metro inter-station flow forecasting model with MMoE.
.- Encoder-Decoder Driven Adaptive Multiscale-CNN Based Indoor Localization with WiFi Fingerprinting.
.- HELM:Hybrid Spatial Index of Moving Objects at Large Scales Tuned with Multi-Agent Reinforcement Learning.
.- Data Privacy and Trusted AI.
.- PriTree: Accurate Range Queries via Hierarchical Prefix-sum under Local Differential Privacy.
.- ASFRA-DP: Learning-Based Federated Spatial Query Processing with Density-Aware Privacy.
.- SVD-based Trajectory Data Synthesis under Local Differential Privacy.
.- An Efficient Federated Learning Privacy Preservation Method with Differential Privacy against Model
Inversion Attack.
.- Improve Visual Grounding with Dynamic Gating and Dual StreamAttention.
.- Counterfactual Adversarial Examples for Mitigating Privacy Risk inAdversarially Robust Models.
.- Data Management on New Hardwares.
.- NALI: NUMA-awareAdaptive Learned Index for In-Memory Multi-core Databases.
.- SAHSCM:Self-Activating and High-Speed Cryptographic Module for SATABridge Systems.
.- UltraZenFS: AUser-Space File System for LSM-tree based Key-Value Stores on Small-Zone ZNS
SSDs.
.- WROTree: Write and Range query Optimal Tree in Persistent Memory.
.- Reducing Write Stall and WriteAmplification for LSM-tree based Key-Value Stores Using a Hybrid
Compression Strategy.
.- Balance Performance and Cost:ACold/Hot Data ClassificationAlgorithm for NVM-SSD hybrid.
.- Query Processing and Optimization.
.- Towards Efficient Graph Similarity Search in Cloud Environments.
.- APO:Adaptive Pathway Optimization for Complex Query Tasks Based on KV-stores.
.- LH-DPT:An Update Efficient Index for High-DimensionalApproximate Nearest Neighbor Search.
.- LSTM-based Query Performance Optimization in LSM-trees.
.- Secure Location-Based Continuous Range Queries in Fog-based Cloud Computing.
.- RLGCNt: Cardinality Estimation based on Rank Gauss Transform Coding andAttention.
.- Continuous Top-k Skyline Pairs Query Over Data Stream.
.- Probabilistic Optimization of Top-k Aggregation in Distributed Environments.
.- ClassiCard: A Classifier Based Approach for Cardinality Estimation in Normalized Tables.
.- Meta-Transfer Routing in Dynamic Road Networks via Hierarchical Graph Embedding.
.- AData OrganizationArchitecture for Efficient Transaction Processing and Approximate AP Query in
HTAPSystems.
.- Data Mining II.
.- Quadruple Modeling Network for Temporal Knowledge Graph Completion.
.- Causal Inference forAlleviating Sequence Mutation in Sequential Recommendation.
.- GraphADQ:Graph-Attentive Dual Deep Q-Network forAdaptive Community Detection.
.- A Novel Temporal Heterogeneous Graph Learning-BasedAnomaly Detection Method for Industrial
Chain Evolution.
.- Contrastive Learning of Graph Transformer on Heterogeneous Information Networks.
| Erscheint lt. Verlag | 7.3.2026 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | Approx. 800 p. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Advanced database and Web applications • Big data management • Block chain models and applications • Data engineering for big remote sensing data • Data management on new hardwares • Data Mining • Graph and social network analysis • Graph data, RDF, social networks • information extraction • Information Retrieval • knowledge graphs • machine learning • Natural Language Processing • Parallel and distributed data management • query processing and optimization • Recommender Systems • representation learning • Security, privacy, and trusted AI • spatial and temporal databases • Streams, complex event processing |
| ISBN-10 | 981-95-5715-1 / 9819557151 |
| ISBN-13 | 978-981-95-5715-8 / 9789819557158 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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