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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.
List of contents
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.
