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chen enhong (curatore); gao yang (curatore); cao longbing (curatore); xiao fu (curatore); cui yiping (curatore); gu rong (curatore); wang li (curatore); cui laizhong (curatore); yang wanqi (curatore) - big data

Big Data 11th CCF Conference, BigData 2023, Nanjing, China, September 8–10, 2023, Proceedings

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 12/2023
Edizione: 1st ed. 2023





Trama

This book constitutes the refereed proceedings of the 11th CCF Conference on BigData 2023, which took place in Nanjing, China, in September 2023. 

The 14 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data.




Sommario

Long-term and Short-term Perception in Knowledge Tracing.- A Transfer Learning Enhanced Decomposition-Based Hybrid Framework for Forecasting Multiple Time-Series.- Dataset Search over Integrated Metadata from China's Public Data Open Platforms.- Integrating DCNNs with Genetic Algorithm for Diabetic Retinopathy Classification.- The Convolutional Neural Network Combing Feature-aligned and Attention Pyramid for Fine-Grained Visual Classification.- OCWYOLO:A Road Depression Detection Method.- Explicit Exploring Geometric Modality for Shape-enhanced Single-view 3D Face Reconstruction.- Fine edge and texture prior guided super resolution reconstruction network.- UD-GCN: Uncertainty-Based Semi-Supervised Deep GCN for Imbalanced Node Classification.- Twin Support Vector Regression with Privileged Information.- Detecting Social Robots Based on Multi-View Graph Transformer.- Scheduling Containerized Workflow in Multi-Cluster Kubernetes.- A Study of Electricity Theft Detection Method Based on Anomaly Transformer.- Application and Research on a Large Model Training Method Based on Instruction Fine-Tuning in Domain-Specific Tasks.










Altre Informazioni

ISBN:

9789819989782

Condizione: Nuovo
Collana: Communications in Computer and Information Science
Dimensioni: 235 x 155 mm Ø 332 gr
Formato: Brossura
Illustration Notes:XIV, 195 p. 70 illus., 63 illus. in color.
Pagine Arabe: 195
Pagine Romane: xiv


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