动词 发表于 2025-3-21 17:10:54
书目名称Big Data and Social Computing影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0185687<br><br> <br><br>书目名称Big Data and Social Computing影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0185687<br><br> <br><br>书目名称Big Data and Social Computing网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0185687<br><br> <br><br>书目名称Big Data and Social Computing网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0185687<br><br> <br><br>书目名称Big Data and Social Computing被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0185687<br><br> <br><br>书目名称Big Data and Social Computing被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0185687<br><br> <br><br>书目名称Big Data and Social Computing年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0185687<br><br> <br><br>书目名称Big Data and Social Computing年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0185687<br><br> <br><br>书目名称Big Data and Social Computing读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0185687<br><br> <br><br>书目名称Big Data and Social Computing读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0185687<br><br> <br><br>粘 发表于 2025-3-21 23:34:35
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遗传 发表于 2025-3-22 01:59:14
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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提炼 发表于 2025-3-22 20:48:36
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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