Applying AI technology and rough set theory for mining association rules to support crime management and fire-fighting resources allocation

作者: Show-chin Lee , Mu-jung Huang

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摘要: The missions for the police and fire fighters are to protect public safety fight prevent from fires, respectively. In this dynamic environment, however, there many potential dangers uncertain factors that can’t be predicted. order improve total performance, some rules extracted criminal fire-fighting records needed. purpose of paper is mine association a database support crime management or resources allocation. mining procedure consists two essential modules. One clustering module based on neural network, Self-Organization Map (SOM), which performs grouping tasks tremendous number records. another rule extraction applying rough set theory can extract each homogeneous cluster relationships between different clusters. An example illustration.

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