Web and Big Data 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, Proceedings, Part V /

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 carefu...

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Bibliografiske detaljer
Institution som forfatter: SpringerLink (Online service)
Andre forfattere: Zhang, Wenjie (Editor), Tung, Anthony (Editor), Zheng, Zhonglong (Editor), Yang, Zhengyi (Editor), Wang, Xiaoyang (Editor), Guo, Hongjie (Editor)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Udgivelse:1st ed. 2024.
Serier:Lecture Notes in Computer Science, 14965
Fag:
Online adgang:https://doi.org/10.1007/978-981-97-7244-5
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Indholdsfortegnelse:
  • -- 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.