Computer Supported Cooperative Work and Social Computing
Springer Verlag, Singapore
978-981-99-9636-0 (ISBN)
The 54 full papers and 28 short papers presented in these proceedings were carefully reviewed and selected from 221 submissions. The papers are organized in the following topical sections: Social Media and Online Communities; Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Crowd Intelligence and Crowd Cooperative Computing; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications.
Social Media and Online Communities.- HGNN-T5 PEGASUS: A Hybrid Approach for Chinese Long Text Summarization.- Prompt-based and Two-stage Training for Few-shot Text Classification.- A Fine-Grained Image Description Generation Method Based on Joint Objectives.- Analyzing Collective Intelligence through Sentiment Networks in Self-Organized Douban Communities.- Similarity Metrics and Visualization of Scholars Based on Variational Graph Normalized Auto-Encoders.- Scholar Influence Maximization via Opinion Leader and Graph Embedding Regression in Social Networks.- Incremental Inductive Dynamic Network Community Detection.- Er-EIR: A Chinese Question Matching Model based on Word-level and Sentence-level Interaction Features.- MOOC dropout prediction using learning process model and LightGBM algorithm.- Nonnegative Matrix Factorization Based on Topology-And-Attribute-Matching Degree for Community Detection.- Unsupervised Multi-population Evolutionary Algorithm for Community Detection in Attributed Networks.- Parallel High Utility Itemset Mining Algorithm on the Spark.- ABCD-HN: An Artificial Network Benchmark for Community Detection on Heterogeneous Networks.- A Multi-Behavior Recommendation Based on Disentangled Graph Convolutional Networks and Contrastive Learning.- How hypergraph-to-graph conversion affects cooperative working visualization: A Multi-metric evaluation.- Vessel Traffic Flow Prediction and Analysis Based on Ship Big Data.- TGPPN: A Transformer and Graph Neural Network based Point Process Network Model.- Dynamic Network Link Prediction Based on Attention and Time Perception.- User's Emotional Diffusion and Public Opinion Evolution Under Public Health Emergencies.- Mobile Edge Computing Offloading Strategy Based on Deep Reinforcement Learning.- Study of Mental Model in Human-Computer Interaction Based on EEG Signal Data.- Collaborative Mechanisms, Models, Approaches, Algorithms and Systems.- A Scholarly Information Retrieval System Incorporating Recommendation with Semantic Similarity.- DAG-based Task Scheduling Optimization in Heterogeneous Distributed Systems.- A Distributed Cross-layer Protocol for Sleep Scheduling and Data Aggregation in Wireless Sensor Networks.- Time Split Network for Temporal Knowledge Graph Completion.- Deep Q-learning Based Circuit Breaking Method for Micro-services in Cloud Native Systems.- FRS4CPP: A Fair Recommendation Strategy Considering Interests of Users; Providers and Platform.- Accelerating Unsupervised Federated Graph Neural Networks Via Semi-Asynchronous Communication.- Life Cycles and Self-organized Criticality of Vietnam Empires: Based on Sandpile Model.- Multi-source Autoregressive Entity Linking Based on Generative Method.- Improving Voice Style Conversion via Self-Attention VAE with Feature Disentanglement.- Deep Reinforcement Learning for Delay and Energy-aware Task Scheduling in Edge Clouds.- A Comprehensive Review of the Oversmoothing in Graph Neural Networks.- A Foreground Feature Embedding Network for Object Detection in Remote Sensing Images.- Visitors Vis: Interactive Mining of Suspected Medical Insurance Fraud Groups.- CERender: Real-time Cloud Rendering Based on Cloud-Edge Collaboration.- Auxiliary Diagnosis of Pneumonia Based on Convolutional Attention and Parameter Migration.- End-to-end Relation-Enhanced Learnable Graph Self-attention Network for Knowledge Graphs Embedding.- Research on Signal Detection and System Recognition Techniques in Private Internet of Things.- Research on Traffic Flow Prediction and Traffic Light Timing Recommendation Technology Based on Vehicle Data Analysis.- Towards Distributed Graph Representation Learning.
| Erscheinungsdatum | 11.01.2024 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | 184 Illustrations, color; 35 Illustrations, black and white; XXIV, 562 p. 219 illus., 184 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Informatik ► Weitere Themen ► Hardware | |
| Schlagworte | Access Control • Artificial Intelligence • computer crime • cryptography • Data Security • Distributed Systems • Network Security • Neural networks • Query Languages • Security Systems |
| ISBN-10 | 981-99-9636-8 / 9819996368 |
| ISBN-13 | 978-981-99-9636-0 / 9789819996360 |
| Zustand | Neuware |
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