Web and Big Data : 9th International Joint Conference, APWeb-WAIM 2025, Shenyang, China, August 28-30, 2025, Proceedings, Part III (Lecture Notes in Computer Science)

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Web and Big Data : 9th International Joint Conference, APWeb-WAIM 2025, Shenyang, China, August 28-30, 2025, Proceedings, Part III (Lecture Notes in Computer Science)

Li, Jiajia (EDT)/ Chbeir, Richard (EDT)/ Li, Lei (EDT)

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Springer Verlag, Singapore（2026/03発売）
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言語 ENG
商品コード 9789819557189

Full Description

The four-volume set LNCS constitutes the refereed proceedings of the 9th International Joint Conference on Web and Big Data, APWeb-WAIM 2025, held in Shenyang, China, during August 28-30, 2025.

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.

.- Data Mining II.

.- TimeMultiformer: Attention-Based Collaborative Feature and Temporal Dependencies Learning for
Multivariate Time Series Imputation.

.- Heterogeneous Graph-Enhanced Temporal Prediction withAdaptive Monitoring for Industrial Chain
Data.

.- Finding Maximum Common Subgraphs Efficiently Through Dynamic Bidirectional Vertex Selection.

.- TD-LTNet: Temporal-Decay LSTM-Transformer Network for Mobile Video QoE Prediction.

.- FACKT:AFault-Aware Model for Code Knowledge Tracing.

.- UCPM-CPI:AUnited Co-location Pattern MiningAlgorithm Based on Correlated Participation Index.

.- Machine Learning II.

.- ACross-modal Fusion Method for Short Video Fake News Detection via MambaFormer.

.- ALightweight Pavement Defect Detection Method Based on Multi-BranchAttention with Contextual
Guidance.

.- A Hierarchical Reinforcement Learning Method based on Decision Frequency and Internal Reward
Mechanism.

.- ASoluble Solids Content Prediction Method for Blueberries Based on Differential Enhancement and
Multi-Scale Feature Fusion.

.- MedDPA: Multi-Scale Decomposition and Prototype-based ChannelAggregation for Medical Time
Series Classification.

.- Knowledge Graph and Hypergraph Enabled Semantic Modeling for Dual-Intent Recommendation.

.- GK-SMOTE:AHyperparameter-free Noise-Resilient Gaussian KDE-Based OversamplingApproach.

.- Robust Ensemble Learning via t-Tilted Loss: ANoise-Resistant Framework.

.- A Multi-Scale Dilated Convolution model with Edge Optimization for Crack Detection.

.- A DeepReinforcement Learning Framework for Denial Constraint Discovery.

.- Information Retrieval and Knowledge Management II.

.- Generating Difficulty Controllable Multiple-Choice Question By Iteratively Guiding The Large
Language Model.

.- Research on a multi-modal entity alignment method based on neighborhood matching.

.- Multi-Granularity Knowledge Graph EntityAlignment via Semantic Clustering and Dynamic
Collaborative Projection.

.- MNS-EA:AMixedNegative Sampling-based EntityAlignment Model.

.- Improving Continual Relation Extraction via Parameter Regularization and Dynamic Memory.

.- MultiRelE: Multi-relation Knowledge Graph Embedding Model.

.- LE2C: LLM-Enhanced Event Evolutionary Graph for Explainable Classification.

.- Discrete Channel Mapping in Knowledge Distillation.

.- Uncertainty-Aware Semantic Decoding for LLM-Based Sequential Recommendation.

.- Dual-StreamAdaptive Retrieval and HierarchicalAgent Collaboration for Document Visual QA.

.- Retrieval and Distill: ATemporal Data Shift-Free Paradigm for Online Recommendation System.

.- Retrieval-based Knowledge Consistency Validation for Fake News Detection.

.- Graph Data Management andAnalytics II.

.- DCS-GCN:ADual-Channel Social Graph Convolutional Network for Recommendation.

.- DED: Integrating Degree Entropy and Dynamic Delay Mechanisms for Influence Maximization in Multilayer Networks.

.- ComIVY: Community-Driven Budgeted Influence Maximization via IVY Optimization.

.- Enhancing Partial Evaluation Subgraph Matching Through Vertex Hotness Caching.

.- Fetan: Enhancing Few-Shot Classification on Text-Attributed Graphs with In-Context Learning of LLMs.

.- Graph Contrastive Anomaly Detection Based on Beta Wavelet Multi-GNNs.

.- Adaptive Graph Contrastive Learning for Blockchain Smart Contract Vulnerability Detection.

.- CPGCN:Evolutionary Relationship Mining Framework for Ethnic Costume Elements.

.- Shilling Attacks on GNN-based Recommender Systems with Graph Contrastive Learning.

.- Big Data Management.

.- DC-Storage: AFast Permissioned IoT Blockchain Storage with Decoupled Index.

.- zkHARPS:ADecentralized Method for Cross-Chain Identity Aggregation and Privacy Proof.

.- FLAR: Fibonacci-assisted Lightweight Anonymous RevocableAuthentication Scheme in Industrial
Internet of Things.

.- RL-ABO:Adaptive Blockchain Control Parameter Optimization Method Based on Reinforcement
Learning.

.- ByzTierFL:ATieredApproach to Byzantine Robust and Decentralized Federated Learning.

.- Root Cause Localization Through Holistic Fault Propagation Perspective for Cloud-native Systems.