使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

Li Zheng, Chao Shen, L. Tang, Tao Li, Steven Luis, Shu‐Ching Chen, Vagelis Hristidis
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引用次数: 44

摘要

在最近人为和自然造成的灾难之后,危机管理和灾难恢复变得极其重要。如何有效地发现、收集、组织、搜索和传播实时灾难信息是危机情况下的一个关键问题。在本文中,我们解决了几个关键问题,这些问题阻碍了私营和公共部门参与者之间更好的信息共享和合作,以进行灾害管理和恢复。我们利用最新的数据挖掘技术,设计并实现了一个基于web的业务连续性信息网络(BCIN)系统的原型实现,以创建一个用户友好的、基于互联网的、信息丰富的服务,并作为公司业务连续性过程的重要组成部分。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汇总模块为用户提供个性化、简要的灾情信息视图;社区生成模块开发空间聚类技术,帮助用户在灾害中建立动态社区。目前,BCIN已在迈阿密-戴德县应急管理中心实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using data mining techniques to address critical information exchange needs in disaster affected public-private networks
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.
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