Web and Big Data

8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 ¿ September 1, 2024, Proceedings, Part V
Herausgegeben:Zhang, Wenjie; Tung, Anthony; Zheng, Zhonglong; Yang, Zhengyi; Wang, Xiaoyang; Guo, Hongjie

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Computer Science 14965
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-97-7243-8
• 2024
• Seitenzahl: 540
• Erscheinungstermin: 28. August 2024
• Englisch
• Abmessung: 235mm x 155mm x 29mm
• Gewicht: 809g
• ISBN-13: 9789819772438
• ISBN-10: 9819772435
• Artikelnr.: 71261111

Inhaltsangabe

.- 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.