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Web and Big Data. APWeb-WAIM 2025 International Workshops - KGMA 2025, SemiBDMA 2025, MADM 2025, AIEDM 2025 and STBDM 2025, Shenyang, China, August 28-30, 2025, Proceedings

Inglese · Tascabile

Pubblicazione il 25.05.2026

Descrizione

Ulteriori informazioni

This volumes constitute the proceedings of the Workshops KGMA, SemiBDMA, MADM, AIEDM and STBDM which were held in conjunction with APWeb-WAIM 2025 which took place in Shenyang, China, during August 28 30, 2025.
The 28 full papers presented in these proceedings were carefully reviewed and selected from 49 submissions. Focus on the following topical sections: KGMA Workshop; SemiBDMAWorkshop; SRBDMA Workshop;  GDMMA Workshop.
 

Sommario

.- KGMA Workshop.
.- Graph-Augmented Language Models for Strategic Reasoning:AHybrid Retrieval Framework.
.- GrowCap: Lightweight Image Captioning with Enhanced Hard Prompts.
.- Fine-Grained Prototype-Augmented Named Entity Recognition.
.- Deep Generative Replay for Continual Relation Extraction.
.- Efficient Subgraph Matching withAdaptive Filtering and Core-Set Prioritization.
.- Graph Neural Network-DrivenAnt Colony Optimization for Combinatorial Problems on Graphs.
.- CXLPowered Memory Intensive Graph Processing:AComprehensive Survey.
.- Design and Implementation of a Graph Neural Network Framework for Crop Variety Classification Based on Complex NetworkAnalysis.
.- SemiBDMA Workshop.
.- MSPD: Large Language Model Parallel Speculative Decoding Method with Multi-level Early Exiting.
.- ANewYiFont Generation using Diffusion Model.
.- AsAI Meets Gaokao: Fine-Tuning GPT-4o for Enhanced Performance in Objective Questions.
.- Scene-Aware Multi-Agents on Collaborative Retrieval Augmented Generation Model.
.- Cascaded dense networks for super-resolution of face images.
.- Image Super-Resolution via Dense Convolutional Neural Network in Curvelet Transform Domain.
.- Design and Practice of Ship Real-time CollisionAvoidance System Based onArtificial Intelligence.
.- AChinese Named Entity RecognitionApproach with Multi-HeadAttention.
.- AFeature-Clustering Algorithm Based on K-Medoids.
.- Tilt Correction of Italic Character Images.
.- SRBDMA Workshop.
.- DITS: Double Imputation for Enhanced Irregular Multivariate Time Series Classification.
.- Transmission Tower Inspection Drone Hub Deployment Optimization System Based on DeepSeek Large Language Model.
.- SGDA: ClassAugmentation for Imbalanced Graph Learning at Scale.
.- zkANN: Efficient and Verifiable ANN Search with Enhanced Data Privacy.
.- Text Classification Method Based on Hypergraph Convolutional Network and Attention Mechanism.
.- Enhancing Traffic Sign Detection with EEM-YOLO for Complex Scenarios.
.- Knowledge Hypergraph Link Prediction Based onAttention and Relational Contrast Learning.
.- GDMMA Workshop.
.- Multi-hop Reasoning Method Oriented QuestionAnswering in Time-constrained Temporal Knowledge Graph.
.- M4-Greedy: Visualization-Oriented Representative Selection of Time Series Data.
.- MAD-GCN: Multi-Attention Diffusion based Graph Convolutional Network for Traffic Flow Forecasting.

Riassunto

This volumes constitute the proceedings of the Workshops KGMA, SemiBDMA, MADM, AIEDM and STBDM which were held in conjunction with APWeb-WAIM 2025 which took place in Shenyang, China, during August 28–30, 2025.
The 28 full papers presented in these proceedings were carefully reviewed and selected from 49 submissions. Focus on the following topical sections: KGMA Workshop; SemiBDMAWorkshop; SRBDMA Workshop;  GDMMA Workshop.
 

Dettagli sul prodotto

Con la collaborazione di Richard Chbeir (Editore), Ningning Cui (Editore), Linlin Ding (Editore), Jiajia Li (Editore), Lei Li (Editore), Lei Li et al (Editore), Ye Yuan (Editore)
Editore Springer, Berlin
 
Lingue Inglese
Formato Tascabile
Pubblicazione 25.05.2026
 
EAN 9789819579952
ISBN 978-981-9579-95-2
Illustrazioni Approx. 700 p.
Serie Communications in Computer and Information Science
Categorie Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica

Algorithmen und Datenstrukturen, Big Data, machine learning, Data Mining, angewandte informatik, Data Warehousing, Informationsrückgewinnung, Information Retrieval, Bildverarbeitung, Informationstheorie, Wissensbasierte Systeme, Expertensysteme, big data management, Information Retrieval, Computer Imaging, Vision, Pattern Recognition and Graphics, Data Structures and Information Theory, Natural Language Processing, Computer and Information Systems Applications, Data Mining and Knowledge Discovery, Information Storage and Retrieval, recommender systems, information extraction, Knowledge Graphs, Representation Learning, Query processing and optimization, Data management on new hardwares, Advanced database and Web applications, Data engineering for big remote sensing data, Parallel and distributed data management, Block chain models and applications, Spatial and temporal databases, Streams, complex event processing, Security, privacy, and trusted AI, Graph data, RDF, social networks, Graph and social network analysis

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