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Cover image for Big Data and Social Computing 8th China National Conference, BDSC 2023, Urumqi, China, July 15-17, 2023, Proceedings
Title:
Big Data and Social Computing 8th China National Conference, BDSC 2023, Urumqi, China, July 15-17, 2023, Proceedings
Author:
Meng, Xiaofeng. editor.
ISBN:
9789819939251
Edition:
1st ed. 2023.
Physical Description:
XV, 404 p. 167 illus., 138 illus. in color. online resource.
Series:
Communications in Computer and Information Science, 1846
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. .
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