Spam detection of Twitter traffic: A framework based on random forests and non-uniform feature sampling

著录项

• 来源
  《Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining》|2016年|811-817|共7页
• 会议地点 San Francisco(US)
• 作者

  Claudia Meda; Edoardo Ragusa; Christian Gianoglio; Rodolfo Zunino; Augusto Ottaviano; Eugenio Scillia; Roberto Surlinelli;

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• 作者单位

  Dept. of Electric, Electronic and Telecommunications, Engineering and Naval Architecture DITEN, University of Genoa, Genoa, Italy;

  Dept. of Electric, Electronic and Telecommunications, Engineering and Naval Architecture DITEN, University of Genoa, Genoa, Italy;

  Dept. of Electric, Electronic and Telecommunications, Engineering and Naval Architecture DITEN, University of Genoa, Genoa, Italy;

  Dept. of Electric, Electronic and Telecommunications, Engineering and Naval Architecture DITEN, University of Genoa, Genoa, Italy;

  Ministry of the Interior - Department of Public Security, Italian National Police, Genoa - Italy;

  Ministry of the Interior - Department of Public Security, Italian National Police, Genoa - Italy;

  Ministry of the Interior - Department of Public Security, Italian National Police, Genoa - Italy;

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• 会议组织
• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  Twitter; Classification algorithms; Training; Vegetation; Feature extraction; Algorithm design and analysis;

  机译：Twitter;分类算法;训练;植被;特征提取;算法设计与分析;