首页> 外文期刊>Decision support systems >Enterprise risk and security management: Data, text and Web mining
【24h】

Enterprise risk and security management: Data, text and Web mining

机译:企业风险和安全管理:数据,文本和Web挖掘

获取原文
获取原文并翻译 | 示例
           

摘要

The Internet, Web 2.0, consumer-generated social media, and new advanced data, text, and Web mining techniques have created tremendous business opportunities. However, the potential risk and security concerns are also equally alarming. Research of relevance to enterprise risk and security assessment and analysis has gained significant interests among MIS, CS, and business researchers. Through large-scale Web enabled content collection (e.g., corporate reports, news, consumer feedback, corporate blogs and forums, and brand sentiment) and advanced mining techniques, companies and industries will be better positioned to identify potential risks and security concerns.
机译:互联网,Web 2.0,消费者生成的社交媒体以及新的高级数据,文本和Web挖掘技术创造了巨大的商机。但是,潜在的风险和安全问题也同样令人担忧。与企业风险和安全性评估与分析相关的研究已引起MIS,CS和业务研究人员的极大兴趣。通过大规模的基于Web的内容收集(例如,公司报告,新闻,消费者反馈,公司博客和论坛以及品牌情感)和先进的挖掘技术,公司和行业将可以更好地识别潜在的风险和安全隐患。

著录项

  • 来源
    《Decision support systems》 |2011年第4期|p.649-650|共2页
  • 作者单位

    Artificial Intelligence Lab, Department of Management Information Systems, MCCL430Z, The University of Arizona, Tucson, AZ 85721, USAEnterprise Risk Management and Business Intelligence Center, National Taiwan University, 1, Roosevelt Rd., Sec. 4, Taipei, Taiwan, ROC;

    School of Business, Faculty of Business and Economics, The University of Hong Kong, Pokfulam Road, Hong Kong;

    National Taiwan University, 1, Roosevelt Rd., Sec. 4, Taipei, Taiwan, ROC;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号