TY - BOOK AU - Zhang,Wenjie AU - Tung,Anthony AU - Zheng,Zhonglong AU - Yang,Zhengyi AU - Wang,Xiaoyang AU - Guo,Hongjie ED - APWeb-WAIM (Conference) TI - Web and big data: 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings T2 - Lecture Notes in Computer Science SN - 9789819772414 AV - TK5105.888 .A69 2024eb U1 - 004.67/8 23/eng/20240917 PY - 2024/// CY - Singapore PB - Springer KW - World Wide Web KW - Technological innovations KW - Congresses KW - Big data KW - Computer networks KW - Management KW - Database management KW - Application software KW - Development KW - Access control KW - Web KW - Innovations KW - Congrès KW - Réseaux d'ordinateurs KW - Gestion KW - Bases de données KW - Logiciels d'application KW - Développement N1 - Includes author index; 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 N2 - 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 30September 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 UR - https://link.springer.com/10.1007/978-981-97-7241-4 ER -