空间聚类在健康区域中的应用

2011 12th International Conference on Parallel and Distributed Computing, Applications and Technologies Pub Date : 2011-10-20 DOI:10.1109/PDCAT.2011.76

C. R. Valêncio, Fernando Tochio Ichiba, C. D. Medeiros, Rogéria Cristiane Gratão de Souza

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引用次数: 2

摘要

城市中大量的生产事故给社会造成了巨大的损失。空间数据挖掘技术的发展为从传统属性和空间属性之间的关联中提取知识提供了新的视角。空间聚类是空间数据挖掘中最重要的技术之一，它考虑到对象的地理位置，对相似的空间对象进行聚类，以找到模式的分布。将这一技术应用于保健领域将提供信息，有助于规划更充分的预防工作事故战略。这项工作的最初贡献是提出了为空间聚类开发的工具的应用程序，该工具提供了一组图形资源，这些资源有助于发现工作事故领域的管理知识和支持。

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Spatial Clustering Applied to Health Area

The significant volume of work accidents in the cities causes an expressive loss to society. The development of Spatial Data Mining technologies presents a new perspective for the extraction of knowledge from the correlation between conventional and spatial attributes. One of the most important techniques of the Spatial Data Mining is the Spatial Clustering, which clusters similar spatial objects to find a distribution of patterns, taking into account the geographical position of the objects. Applying this technique to the health area, will provide information that can contribute towards the planning of more adequate strategies for the prevention of work accidents. The original contribution of this work is to present an application of tools developed for Spatial Clustering which supply a set of graphic resources that have helped to discover knowledge and support for management in the work accidents area.

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来源期刊

2011 12th International Conference on Parallel and Distributed Computing, Applications and Technologies

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