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Titlebook: Big Data and Social Computing; 8th China National C Xiaofeng Meng,Yang Chen,Zi-Ke Zhang Conference proceedings 2023 The Editor(s) (if appli

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期刊全称Big Data and Social Computing
期刊简称8th China National C
影响因子2023Xiaofeng Meng,Yang Chen,Zi-Ke Zhang
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学科分类Communications in Computer and Information Science
图书封面Titlebook: Big Data and Social Computing; 8th China National C Xiaofeng Meng,Yang Chen,Zi-Ke Zhang Conference proceedings 2023 The Editor(s) (if appli
影响因子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..
Pindex Conference proceedings 2023
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An Efficient Regional Co-location Pattern Mining Algorithm Over Extended Objects Based on Neighborhon-global prevalent feature transactions are used to imply the range of candidate RCPs. In the local range, the distribution relation of the features is calculated to mine RCPs. We denote this process as neighborhood distribution relation computation. Experimental evaluations illustrate our proposed
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Intelligent Government Decision-Making: A Multidimensional Policy Text Visualization Analysis Systemhese limitations, this article proposes a policy text multi-dimensional visualization analysis system that incorporates natural language processing technology and data visualization technology. The system enables decision-makers from different regions to learn from each other and those in the same r
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Introduction to Environmental Modeling,icantly improve the power consumption forecasting performance in both univariate and multivariate time series forecasting tasks, and each module contributes differently to the proposed method. The framework also has some applicability and provides a new solution for various public health emergencies
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