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一个在线支持向量机算法用于动态社交网络监控

Arya Karami1, Seyed Taghi Akhavan Niaki2

  • 1Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran; School of Mathematics and Statistics, University of New South Wales, Sydney, Australia.

Neural networks : the official journal of the International Neural Network Society
|December 30, 2023
PubMed
概括

本研究引入了一种新的一级支持矢量机 (OC-SVM) 算法,用于有效的在线社交网络监控. 在不断发展的网络中,OC-SVM方法提高了变化点检测的准确性和效率.

关键词:
变化点检测检测 变化点检测动态社交网络分析一级支持矢量机算法 一级支持矢量机算法在线监控在线监控

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