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Beschreibung
The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed 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:

Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System.

Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data.

Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization.

Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and Security

Part V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.
The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed 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:

Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System.

Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data.

Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization.

Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and Security

Part V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.
Inhaltsverzeichnis

.- Anomaly Detection and Security.

.- TWLog: Task Workflow-based Log Anomaly Detection.

.- TS-AUBD: A Novel Two-Stage Method for Abnormal User Behavior Detection.

.- Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy.

.- Noisy Label Learning Based on Weighted Neighborhood Consistency.

.- Information Retrieval.

.- A New Learning-to-Rank Framework for Keyphrase Extraction using Multi-Scale Ratings and Feature Fusion.

.- MIIGraph: Multi-Granularity InformationIntegration Graph for Document-Level Event Extraction.

.- Multi-Granularity Neural Networks for Document-Level Relation Extraction.

.- Improving Zero-Shot Information Retrieval with Mutual Validation of Generative and Pseudo- Relevance Feedback.

.- Entity Semantic feature Fusion Network for Remote Sensing Image-Text Retrieval.

.- Semantic Preservation and Hash Fusion Network for Unsupervised Cross-modal Retrieval.

.- Machine Learning.

.- Using High-Quality Feature for Weakly-Supervised Camouflaged Object Detection.

.- ECHO: Adaptive Correction for Subgraph-wise Sampling with Lightweight Hyperparameter Search.

.- A Parallel and Distributed Data Management Approach for MEC Using the Improved Parameterized Deep Q-Network.

.- Clustering based Collaborative Learning Grouping for Knowledge Building.

.- Unsupervised Feature Selection via Fuzzy K-Means and Sparse Projection.

.- Open World Semi-Supervised Learning Based on Multi-Scale Enhanced Feature.

.- ACD: Attention Driven Cognitive Diagnosis for New Learners Joining ITS.

.- Data Augmentation for Knowledge Tracing based on Variational AutoEncoder and Efficient Network Reusing.

.- An Epidemic Trend Prediction Model with Multi-Source Auxiliary Data.

.- Lead-Aware Hierarchical Transformer and Convolution Fusion Network for ECG Classification.

.- Reinforcement Learning From Clip.

.- Self supervised contrastive learning combining equivariance and invariance.

.- Demonstration Paper.

.- FedPPQs: Optimizing Property Path Queries Evaluation over Federated RDF Systems.

.- MPCPM: Multi-level Prevalent Co-location Pattern Miner.

.- FGAQ: Accelerating Graph Analytical Queries Using FPGA.

.- A Progressive Question Answering Framework Adaptable to Multiple Knowledge Sources.

.- RocolSys: An Automatic Row-column Data Storage System For HTAP.

.- MIPC-SHOPs: An Online System for Mining the Influence of Industrial Pollution on Cancer based on the Spatial High-influence Ordered-pair Patterns.

.- A Perception System for DNS Root Service Status Based on Active and Passive Monitoring.

.- Dynamic Route Planning System Integrated with Traffic Flow Sensing.

.- NLITS: A Natural Language Interface for Time Series Databases.

.- FOICP-Miner: An Interactive Spatial Pattern Recommendation System Based on Fuzzy-Ontology.

.- SPCCP-Miner: Towards the Discovery of Congested Junctions.

.- Crowd-OBIGA¿A Crowdsourced Approach for Oracle Bone Inscriptions Glyph Annotation.

.- NexusDB: A Large-Scale Distributed Time-Series Database for Industrial Scenarios.

.- Industry Paper.

.- LMStor: Storage acceleration design for large models.

.- Enhancing Emergency Communications via UAV-Assisted Home-Independent Broadband Mobile Networks.

.- FPTSF: A Failure Prediction of hard disks based on Time Series Features towards low quality dataset.

.- PMEMgreSQL: Embracing PostgreSQL with Persistent Memory.

.- The Development of a TLA+ Verified Correctness Raft Consensus Protocol.

.- Robust Multi-vehicle Routing with Communication Enhanced Multi-agent Reinforcement Learning for Last-mile Logistics.

.- A Dual-tower Model for Station-level Electric Vehicle Charging Demand Prediction.

.- BPGNN-SBR: Behavior Progressive Graph Neural Networks for Session-Based Recommendation.

.- Exploring Simple Architecture of Just-in-Time Compilation in Databases.

Details
Erscheinungsjahr: 2024
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Lecture Notes in Computer Science
Inhalt: xix
517 S.
22 s/w Illustr.
159 farbige Illustr.
517 p. 181 illus.
159 illus. in color.
ISBN-13: 9789819772438
ISBN-10: 9819772435
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Wang, Xiaoyang
Redaktion: Zhang, Wenjie
Tung, Anthony
Zheng, Zhonglong
Yang, Zhengyi
Wang, Xiaoyang
Guo, Hongjie
Herausgeber: Wenjie Zhang/Anthony Tung/Zhonglong Zheng et al
Hersteller: Springer
Springer Singapore
Lecture Notes in Computer Science
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 29 mm
Von/Mit: Wenjie Zhang (u. a.)
Erscheinungsdatum: 28.08.2024
Gewicht: 0,809 kg
Artikel-ID: 129793258

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