Big Data

11th CCF Conference, BigData 2023, Nanjing, China, September 8-10, 2023, Proceedings
1. Auflage 2023
ISBN: 978-981-99-8978-2
Verlag: Springer Nature Singapore

Buch, Englisch, 195 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 330 g

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Chen, Enhong

Gao, Yang

Cao, Longbing

Xiao, Fu

Yang, Wanqi

Cui, Yiping

Gu, Rong

Wang, Li

Cui, Laizhong

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Angewandte Informatik

Inhaltsverzeichnis

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.