利用数据挖掘技术解决受灾害影响的公私网络中的关键信息交换需求Using Data Mining Techniques to Address Critical Information Exchange Needs in Disaster Affected Public-Private Networks |
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课程网址: | http://videolectures.net/kdd2010_zheng_udmt/ |
主讲教师: | Li Zheng |
开课单位: | 佛罗里达国际大学 |
开课时间: | 2010-10-01 |
课程语种: | 英语 |
中文简介: | 在最近人与自然造成灾难之后,危机管理和灾难恢复变得极为重要。危机情况下的一个关键问题是如何有效地发现,收集,组织,搜索和传播实时灾难信息。在本文中,我们讨论了几个关键问题,这些问题阻碍了私营和公共部门参与者之间在灾害管理和恢复方面更好的信息共享和协作。我们利用数据挖掘技术的最新进展,设计并实施基于Web的业务连续性信息网络(BCIN)系统原型实现,以创建用户友好,基于互联网,信息丰富的服务,并作为公司业务连续性的重要组成部分。处理。具体而言,信息提取用于整合来自不同来源的输入数据;内容推荐引擎和报告摘要模块为用户提供灾害信息的个性化和简要视图;社区生成模块开发空间聚类技术,帮助用户在灾难中建立动态社区。目前,BCIN已在迈阿密戴德县应急管理部门运用。 |
课程简介: | Crisis Management and Disaster Recovery have gained immense importance in the wake of recent man and nature inflicted calamities. A critical problem in a crisis situation is how to efficiently discover, collect, organize, search and disseminate real-time disaster information. In this paper, we address several key problems which inhibit better information sharing and collaboration between both private and public sector participants for disaster management and recovery. We design and implement a web based prototype implementation of a Business Continuity Information Network (BCIN) system utilizing the latest advances in data mining technologies to create a user-friendly, Internet-based, information-rich service and acting as a vital part of a company's business continuity process. Specifically, information extraction is used to integrate the input data from different sources; the content recommendation engine and the report summarization module provide users personalized and brief views of the disaster information; the community generation module develops spatial clustering techniques to help users build dynamic community in disasters. Currently, BCIN has been exercised at Miami-Dade County Emergency Management. |
关 键 词: | 危机管理; 灾难恢复; 实时灾难 |
课程来源: | 视频讲座网 |
最后编审: | 2019-05-11:cwx |
阅读次数: | 38 |