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Big Data and Social Computing 8th China National Conference, BDSC 2023, Urumqi, China, July 15–17, 2023, Proceedings

Aus der Reihe Communications in Computer and Information Science
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Beschreibung

This book constitutes refereed proceedings of the 8th China National Conference on Big Data and Social Computing, BDSC 2023, held in Urumqi, China, from July 15–17, 2023. The 23 full papers and 3 short papers presented in this volume were carefully reviewed and selected from a total of 141 submissions....

Beschreibung

This book constitutes refereed proceedings of the 8th China National Conference on Big Data and Social Computing, BDSC 2023, held in Urumqi, China, from July 15–17, 2023.
The 23 full papers and 3 short papers presented in this volume were carefully reviewed and selected from a total of 141 submissions. The papers in the volume are organized according to the following topical headings: Digital Technology and Sustainable Development; Social Network and Group Behavior; Digital infrastructure and the Intelligent Society; Digital Society and Public Security; Artificial Intelligence and Cognitive Science; and Internet Intelligent Algorithm Governance.

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

01.07.2023
Abbildungen

XV, 404 p. 167 illus., 138 illus. in color.
Herausgeber Xiaofeng Meng + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

01.07.2023
Abbildungen

XV, 404 p. 167 illus., 138 illus. in color.
Herausgeber
Verlag Springer Singapore
Seitenzahl

404
Maße (L/B/H)

23,5/15,5/2,3 cm
Gewicht

633 g
Auflage

1st ed. 2023
Sprache

Englisch
ISBN

978-981-9939-24-4
Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Big Data and Social Computing
  • Produktbild: Big Data and Social Computing

  • Digital Technology and Sustainable Development .- A Power Consumption Forecasting Method Based on Knowledge Embedding Under the Influence of the COVID-19 Pandemic.- An efficient regional co-location pattern mining algorithm over extended objects based on neighborhood distribution relation computation.- Research on Multi-objective Optimization Algorithm for Coal Blending.-  Social Network and Group Behavior .- Research on the Public Value of Government Social Media Content and Communication Strategies under “Infodemic”.- Location Recommendations Based on Multi-view Learning and Attention-enhanced Graph Networks.- Driving Style Classification and Dynamic Recognition Considering Traffic State.- Who Connects Wikipedia? A Deep Analysis of Node Roles and Connection Patterns in Wikilink Network.- Digital infrastructure and the Intelligent Society .- Social Behavior-Aware Driving Intention Detection using Spatio-Temporal Attention Network.- Intelligent Government Decision-Making: A Multidimensional Policy Text Visualization Analysis System.- Heuristic Approach to Curate Disease Taxonomy Beyond Nosology-based Standards.- Root Cause Localization Method of Base Station Cells with Poor Quality using AI+SHAP.- Digital Society and Public Security Does Internet Use Promote the Garbage Classification Behavior of Farmers? -- Empirical Evidence from Rural China.- Traffic State Propagation Prediction based on SAE-LSTM-SAD under the SCATS.- Citation Prediction via Influence Representation using Temporal Graphs.- Enhancing Time Series Anomaly Detection with Graph Learning Techniques.- Image Dehazing based on CycleGAN with an Enhanced Generator and a Multiscale Discriminator.-  Artificial Intelligence and Cognitive Science .- Accurate and Rapid Localization of Tea Bud Leaf Picking Point based on YOLOv8.- Compressor Fault Diagnosis Based on Graph AttentionNetwork.- Conductance-Threshold Dual Adaptive Spiking Neural Networks for Speech Recognition.- Mitigating Backdoor Attacks Using Prediction of Model Update Trends.- The Motor Fault Diagnosis Based On Current Signal With Graph Attention Network.-  Internet Intelligent Algorithm Governance .- NILSIC-BERT4Rec: Sequential Recommendation with Non-Invasive and Interest Capturing Self-Attention Mechanism.- Rethinking the Robustness of Graph Neural Networks.- MDC: An Interpretable GNNs Method Based on Node Motif Degree and Graph Diffusion Convolution.- Missing data imputation for traffic flow data using SAE-GAN-SAD.- Scaffold Data Augmentation for Molecular Property Prediction.