東華大學圖書館 |

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-電子資源 : 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:	APWeb-WAIM (Conference)
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xviii, 512 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	World Wide Web - Congresses. - Technological innovations -
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 ;14964..

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:

3301984
World Wide Web
--Technological innovations--Congresses.

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 /
LDR:05000nmm a22003615a 4500 001 2388010
003 DE-He213
005 20240828130259.0
006 m d
007 cr nn 008maaau
008 250916s2024 si s 0 eng d
020 $a 9789819772414 $q (electronic bk.)
020 $a 9789819772407 $q (paper)
024 7 $a 10.1007/978-981-97-7241-4 $2 doi
035 $a 978-981-97-7241-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5105.888 $b .A69 2024
072 7 $a UN $2 bicssc
072 7 $a COM021000 $2 bisacsh
072 7 $a UN $2 thema
082 0 4 $a 004.678 $2 23
090 $a TK5105.888 $b .A655 2024
111 2 $a APWeb-WAIM (Conference) $n (8th : $d 2024 : $c Jinhua Shi, China) $3 3752819
245 1 0 $a Web and big data $h [electronic resource] : $b 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024 : proceedings. $n Part IV / $c edited by Wenjie Zhang ...[et al.].
246 3 $a APWeb-WAIM 2024
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xviii, 512 p. : $b ill., digital ; $c 24 cm.
347 $a text file $b PDF $2 rda
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 14964
505 0 $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.
520 $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-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.
650 0 $a World Wide Web $x Technological innovations $v Congresses. $3 3301984
650 0 $a Big data $v Congresses. $3 3166510
650 0 $a Computer networks $x Management $x Congresses. $3 582083
650 0 $a Database management $v Congresses. $3 551624
650 0 $a Application software $x Development $x Congresses. $3 582171
650 0 $a Computer networks $x Access control $v Congresses. $3 892855
650 1 4 $a Big Data. $3 3134868
650 2 4 $a Data Structures and Information Theory. $3 3382368
650 2 4 $a Computer and Information Systems Applications. $3 3538505
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
700 1 $a Zhang, Wenjie. $3 3135446
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 14964. $3 3752823
856 4 0 $u https://doi.org/10.1007/978-981-97-7241-4
950 $a Computer Science (SpringerNature-11645)