基于风车法的通信网络稀疏事件求解支持

D. Ferro, C. Jonker, A. Salden
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引用次数: 3

摘要

本文介绍了风车方法,用于为参与标准职责的自主专业人员组成的网络组成的组织构建情况敏感通信支持系统,这些组织遇到了时间关键性质的偶然事件,他们不得不寻求帮助。Windmill方法基于统计数据过滤技术,根据可用性、位置、技能和经验对可用资源进行排序,以处理事件。它对于人力资源随时间变化的领域特别有用,并且相对于发生的位置和频率而言,事件相对较少。
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The Windmill Method for Setting up Support for Resolving Sparse Incidents in Communication Networks
This paper introduces the Windmill method for constructing situation sensitive communication support systems for organizations consisting of a network of autonomous professionals involved in standard duties encountering occasional incidents of a time-critical nature for which they have to call for help. The Windmill method is based on statistical data filtering techniques for ranking available resources to handle incident according to their availability, location, skills and experience. It is especially useful for domains in which the human workforce changes over time and incidents are relatively sparse with respect to location and frequency of occurrence.
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