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    <subfield code="a"> -- Database System and Query Optimization.  -- SAM: A Spatial-aware Learned Index for Disk-Based Multi-dimensional Search.  -- BIVXDB: A Bottom Information Invert Index to Speed up the Query Performance of LSM-tree.  -- Dual-contrastive multi-view clustering under the guidance of global similarity and pseudo-label.  -- A Powerful Local Search Method for Minimum Steiner Tree Problem.  -- Federated and Privacy-Preserving Learning.  -- FedOCD: A One-Shot Federated Framework for Heterogeneous Cross-Domain Recommendation.  -- Efficient Updateable Private Set Intersection on Outsourced Datasets.  -- Client Evaluation and Revision in Federated Learning: Towards Defending Free-Riders and Promoting Fairness.  -- A Secure Dynamic Incentive Scheme for Federated Learning.  -- A Data Synthesis Approach Based on Local Differential Privacy.  -- Byzantine-Robust Aggregation for Federated Learning with Reinforcement Learning.  -- Differential Privacy with Data Removal for Online Happiness Assessment.  -- EPCQ: Efficient Privacy-preserving Contact Query Processing over Trajectory Data in Cloud.  -- Parallel Secure Inference for Multiple Models based on CKKS.  -- PrivRBFN: Building Privacy-Preserving Radial Basis Function Networks Based on Federated Learning.  -- Robust Federated Learning with Realistic Corruption.  -- Network, Blockchain and Edge computing.  -- BTQoS: A Tenant Relationship-Aware QoS Framework for Multi-Tenant Distributed Storage System.  -- ACMDS: An Anonymous Collaborative Medical Data Sharing Scheme Based on Blockchain.  -- MTEC: A Multi-tier Blockchain Storage Framework using Erasure Coding for IoT Application.  -- Maintaining Data Freshness in Multi-channel Multi-hop Wireless Networks.  -- Proof of Run: A Fair and Sustainable Blockchain Consensus Protocol based on Game Theory in DApps.  -- KTSketch: Finding k-persistent t-spread Flows in High-speed Networks.  -- A Multi-agent Service Migration Algorithm for Mobile Edge Computing with Diversified Services.  -- Dynamic Computation Scheduling for Hybrid Energy Mobile Edge Computing Networks.  -- Anomaly Detection and Security.  -- Malicious Attack Detection Method for Recommendation Systems Based on Meta-pseudo Labels and Dynamic Features.  -- Detecting Camouflaged Social Bots through Multi-level Aggregation and Information Encoding.  -- Deep Sarcasm Detection with Sememe and Syntax Knowledge.  -- Enhancing Few-Shot Multi-Modal Fake News Detection through Adaptive Fusion.  -- AGAE: Unsupervised Anomaly Detection for Encrypted Malicious Traffic.  -- ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection.  -- Magnitude-Contrastive Network for Unsupervised Graph Anomaly Detection.  -- Substructure-Guided Graph-level Anomaly with Attention-Aware Aggregation.</subfield>
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    <subfield code="a">The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed conference proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30&#x2013;September 1, 2024. The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions. The papers are organized in the following topical sections: Volume I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System. Volume II: Recommender System, Knowledge Graph and Spatial and Temporal Data. Volume III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization. Volume IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and Security Volume V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.</subfield>
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