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Web and big data = 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024 : proceedings.. Part IV /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Web and big data/ edited by Wenjie Zhang ...[et al.].
其他題名:	8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024 : proceedings.
其他題名:	APWeb-WAIM 2024
其他作者:	Zhang, Wenjie.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xviii, 512 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Data Mining and Knowledge Discovery. -
電子資源:	https://doi.org/10.1007/978-981-97-7241-4
ISBN:	9789819772414

Web and big data = 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024 : proceedings.. Part IV /
Web and big data8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024 : proceedings.Part IV /[electronic resource] :APWeb-WAIM 2024edited by Wenjie Zhang ...[et al.]. - Singapore :Springer Nature Singapore :2024. - xviii, 512 p. :ill., digital ;24 cm. - Lecture notes in computer science,149640302-9743 ;. - Lecture notes in computer science ;6140..

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.

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-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.

ISBN: 9789819772414

Standard No.: 10.1007/978-981-97-7241-4doiSubjects--Topical Terms:

677765
Data Mining and Knowledge Discovery.

LC Class. No.: TK5105.888 / .A69 2024

Dewey Class. No.: 004.678

Web and big data = 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024 : proceedings.. Part IV /
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