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Web and big data : APWeb-WAIM 2024 international workshops : KGMA 2024, SemiBDMA 2024, MADM 2024, AIEDM 2024 and STBDM 2024, Jinhua, China, August 30-September 1, 2024 : proceedings / Wenjie Zhang, Anthony Tung, Zhonglong Zheng, Zhengyi Yang, Xiaoyang Wang, Hongjie Guo, editors

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Communications in computer and information science ; 2246Publisher: Singapore : Springer, [2025]Copyright date: © 2025Description: 1 Online-Ressource (xiii, 350 Seiten)ISBN:
  • 9789819600557
Subject(s): Genre/Form: Additional physical formats: 9789819600540 | 9789819600564 | Erscheint auch als: Web and big data. APWeb-WAIM 2024 international workshops. Druck-Ausgabe Singapore : Springer, 2025. xiii, 350 SeitenDDC classification:
  • 005.7 23
DOI: DOI: 10.1007/978-981-96-0055-7Online resources: Summary: -- KGMA Workshop. -- Approximating Temporal Katz Centrality with Methods. -- LLM for Uniform Information Extraction using Multi-task Learning Optimization. -- ASM: Adaptive Subgraph Matching via Efficient Compression and Label Filter. -- SemiBDMA Workshop. -- Learning Multi-Semantic Based on Cross-Attention for Image-Text Retrieval. -- Integrated Global Semantics and Local Details for Image-text Retrieval. -- Adversarial Graph Convolutional Network Hashing for Cross-Modal Retrieval. -- FS-IGA: Feature Selection Method Based on Improved Genetic Algorithm. -- Shearlet Transform Based Multiscale Fusion Network for Image Super Resolution. -- Application of Segmental-based Transfinite Mapping Method for Quadrilateral Mesh Generation of Complex Domain. -- Augmenting Knowledge Tracing: Personalized Modeling by Considering Forgetting Behavior in Learning Process. -- A Time-Aware Sequential Recommendation based on Attention Mechanism. -- Integrating User Sentiment and Behavior for Explainable Recommendation. -- MADM Workshop. -- SACC: Secure-cooperative Adaptive Cruise Control for Unmanned Vehicles. -- A Systematic Mapping Study of LLM Applications in Mobile Device Research. -- Application Framework for OpenHarmony Distributed Trusted Execution Environment. -- Design and Implementation of a Multi-metric Performance Analysis Tool for Android System and its Applications. -- Towards Optimal Leakage Assessment of TVLA. -- Joint UAV Trajectory Optimization and Task Offloading in Integrated Air-Ground Networks. -- AIEDM Workshop. -- Research on Ethical Issues of Classroom Dialogue in the Era of Large Language Model. -- Adaptive Exploration: Elevating Educational Impact of Unsupervised Knowledge Graph Question Answering. -- xLSTM-FER: Enhancing Student Expression Recognition with Extended Vision Long Short-Term Memory Network. -- RDNeRF: Radiance Distribution Guided NeRF for Floaters Removing. -- Multi-User VR Content Wireless Delivery using Motion Prediction and Adaptive Multicasting. -- MEGKT:Multi-Edge Features Enhancement for Graph-Based Knowledge Tracing. -- STBDM Workshop. -- Collaborative Inference for Adaptive DNN Pipeline-aware Alignment. -- A Unified Framework for Link Prediction on Heterogeneous Temporal Graph. -- Massive-Parallel Game of Politi. -- Multiscale Convolutional Feature Aggregation for Finegrained Image Retrieval.Summary: This proceedings constitutes selected papers from the Workshops KGMA, SemiBDMA, MADM, AIEDM and STBDM which were held in conjunction with APWeb-WAIM 2024 which took place in Jinhua, China, August 30–September 1, 2024. The 28 full papers presented were carefully reviewed and selected from 49 submissions. the five workshops accepted a total of 28 papers, marking an acceptance rate of 57.14%. Each submission has been peer-reviewed by 3-4 reviewers. The five workshops were as follows: 1. The 7th International Workshop on Knowledge Graph Management and Applications (KGMA 2024). 2. The 6th International Workshop on Semi-structured Big Data Management and Applications (SemiBDMA 2024). 3. The 1st International Workshop on Mobile Applications and Data Management (MADM 2024). 4. The 1st International Workshop on Artificial Intelligence in Education and Educational Data Mining (AIEDM 2024). 5. The 1st International Workshop on Spatio-Temporal Big Data Management (STBDM 2024).PPN: PPN: 1916312594Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS
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