LEADER 07565nam 22007095 450 001 996706481903316 005 20260130135155.0 024 7 $a10.1007/978-981-95-5719-6 035 $a(CKB)45101361400041 035 $a(MiAaPQ)EBC32530327 035 $a(Au-PeEL)EBL32530327 035 $a(DE-He213)978-981-95-5719-6 035 $a(EXLCZ)9945101361400041 100 $a20260130d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWeb and Big Data $e9th International Joint Conference, APWeb-WAIM 2025, Shenyang, China, August 28?30, 2025, Proceedings, Part III /$fedited by Jiajia Li, Richard Chbeir, Lei Li, Chuanyu Zong, Yanfeng Zhang, Mengxuan Zhang 205 $a1st ed. 2026. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2026. 215 $a1 online resource (0 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v16115 327 $a -- 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. 330 $aThe four-volume set LNCS constitutes the refereed proceedings of the 9th International Joint Conference on Web and Big Data, APWeb-WAIM 2025, held in Shenyang, China, during August 28?30, 2025. The 136 full papers and 15 short papers presented in these proceedings were carefully reviewed and selected from 472 submissions. The papers are organized in the following topical sections: Part I: Data Mining I; Machine Learning I; Information Retrieval and Knowledge Management I; Graph Data Management andAnalytics I; Complex Data Management. Part II: Complex Data Management; Spatial and Temporal Data Management; Data Privacy and Trusted AI; Data Management on New Hardwares; Query Processing and Optimization; Data Mining II. Part III: Data Mining II; Machine Learning II; Information Retrieval and Knowledge Management II; Graph Data Management andAnalytics II; Big Data Management. Part IV: Big Data Management; LLM for Data Management; Information Retrieval; Demonstration Paper; Industry Paper. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v16115 606 $aData structures (Computer science) 606 $aInformation theory 606 $aApplication software 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aData mining 606 $aBig data 606 $aData Structures and Information Theory 606 $aComputer and Information Systems Applications 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aData Mining and Knowledge Discovery 606 $aBig Data 615 0$aData structures (Computer science) 615 0$aInformation theory. 615 0$aApplication software. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aData mining. 615 0$aBig data. 615 14$aData Structures and Information Theory. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aData Mining and Knowledge Discovery. 615 24$aBig Data. 676 $a005.73 676 $a003.54 700 $aLi$b Jiajia$01889590 701 $aLi$0597533 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996706481903316 996 $aWeb and Big Data$94534976 997 $aUNISA