期刊文献+

基于潜语义模型的电网信息作业实施方案风险评估方法 被引量:1

Risk Assessment Method of Power Grid IT Job Implementation Scheme Based on Latent Semantic Model
下载PDF
导出
摘要 电网企业级信息系统每次进行增量升级、消缺等作业时会严格按照实施方案进行,实施方案步骤不严谨、对风险的疏忽会带来巨大的安全隐患。针对现阶段人为对实施方案进行评估存在的管控力度不够、风险细节易疏漏等问题,提出基于潜语义模型的变更作业实施方案风险分析方法。试验证明了本文方法可有效发现电网信息作业实施过程中潜在的风险,可在电网实际信息作业中推广应用。 The power grid enterprise-level information system will be carried out in strict accordance with the implementation plan when performing incremental upgrades and eliminating shortages.The inadequate steps of the implementation program and the negligence of risk can bring great security risks.At present,the artificial evaluation of the implementation plan has insufficient control,risk details being easy to be omitted and other issues.In view of these problems,this paper proposes a risk analysis method for changing job implementation plan based on the latent semantic model.Experiments show that this method can effectively detect the potential risks in the implementation of power grid information operation,and can be popularized and applied in the actual IT job of power gird.
作者 张希翔 梁彪 ZHANG Xixiang;LIANG Biao(Guangxi Power Grid Co.,Ltd.,Nanning 530000,China)
出处 《电工技术》 2019年第9期37-39,42,共4页 Electric Engineering
关键词 风险评估 文本分析 潜语义模型 词语相似度 risk assessment text analysis latent semantic model word similarity
  • 相关文献

参考文献5

二级参考文献47

  • 1刘群,张华平,俞鸿魁,程学旗.基于层叠隐马模型的汉语词法分析[J].计算机研究与发展,2004,41(8):1421-1429. 被引量:197
  • 2黄昌宁,赵海.中文分词十年回顾[J].中文信息学报,2007,21(3):8-19. 被引量:248
  • 3刘佳宾,陈超,邵正荣,吉翔华.基于机器学习的科技文摘关键词自动提取方法[J].计算机工程与应用,2007,43(14):170-172. 被引量:15
  • 4Xue Nianwen. Chinese word segmentation as character tagging. Computational Linguistics and Chinese Language Processing, 2003, 8(1): 29-48.
  • 5Feng Haodi, et al. Aecessor variety criteria for Chinese word extraction. Association for Computational Linguistics, 2004, 30(1) : 75-93.
  • 6Feng Haodi, et al. Unsupervised segmentation of Chinese corpus using aceessor variety//Proceedings of the 1st Inter- national Joint Conference on Natural Language Processing. Hainan Island, China, 2004:255-261.
  • 7Huang Degen, Tong Deqin, Luo Yanyan. HMM revises low marginal probability by CRF for Chinese word segmentation //Proceedings of CIPS-SIGHAN Joint Conference on Chinese Language Processing 2010. Beijing, China, 2010:216-220.
  • 8Chang Baobao, Han Dongxu. Enhancing domain portability of Chinese segmentation model using chi-square statistics and bootstrapping//Proceedings of the 2010 Conference on Empirical Methods on Natural Language Processing. Massa- chusetts, USA, 2010: 789-798.
  • 9Shen Jianping, et al. Chinese word segmentation based on mixing multiple preprocessor and CRF//Proceedings of CIPS-SIGHAN Joint Conference on Chinese Language Processing 2010. Beijing, China, 2010:270-273.
  • 10Xu Xiaoming, et al. High OOV-recall Chinese word segmenter //Proceedings of CIPS-SIGHAN Joint Conference on Chinese Language Processing 2010. Beijing, China, 2010:252-255.

共引文献114

同被引文献8

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部