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Big Data and Social Computing: 8th China National Conference, BDSC 2023, Urumqi, China, July 1517, 2023, Proceedings 1st ed. 2023 [Pehme köide]

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  • Formaat: Paperback / softback, 404 pages, kõrgus x laius: 235x155 mm, kaal: 640 g, 138 Illustrations, color; 29 Illustrations, black and white; XV, 404 p. 167 illus., 138 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 1846
  • Ilmumisaeg: 01-Jul-2023
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9819939240
  • ISBN-13: 9789819939244
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Big Data and Social Computing: 8th China National Conference, BDSC 2023, Urumqi, China, July 1517, 2023, Proceedings 1st ed. 2023Suurem pilt
  • Formaat: Paperback / softback, 404 pages, kõrgus x laius: 235x155 mm, kaal: 640 g, 138 Illustrations, color; 29 Illustrations, black and white; XV, 404 p. 167 illus., 138 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 1846
  • Ilmumisaeg: 01-Jul-2023
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9819939240
  • ISBN-13: 9789819939244
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789819939244.html
Märksõnad:
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.
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.