Buch, Englisch, 562 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 879 g
18th CCF Conference, ChineseCSCW 2023, Harbin, China, August 18-20, 2023, Revised Selected Papers, Part I
Buch, Englisch, 562 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 879 g
Reihe: Communications in Computer and Information Science
ISBN: 978-981-99-9636-0
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
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.
