Research on Application of K-means Cluster Analysis in Data of Fire Fighting Receive-disposal Alarm

机译：K均值聚类分析在消防接收处置报警数据中的应用研究

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The paper adopts k-means cluster analysis in SSPS to mine 3063 collected data samples of fire fighting receivedisposal alarm in a certain city from 2003 to 2006, preliminarily verifies the validity of k-means cluster variables and briefly analyzes the mining results. The results show that, there exists certain features in clusters formed by data of fire receivedisposal alarm, which has guiding significance for fire alarm receive and disposal, meanwhile, makes primary exploration into application of data mining in analyzing data of fire fighting receive-disposal alarm.

机译：本文采用SSPS中的k均值聚类分析方法，对2003年至2006年某城市的3063个消防接发警报采集的数据样本进行挖掘，初步验证了k均值聚类变量的有效性，并简要分析了挖掘结果。结果表明，由火警处置数据组成的集群具有一定的特征，对火警的接收和处置具有指导意义，同时也为数据挖掘在消防火警处置数据分析中的应用进行了初步探索。。

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来源
《The 2nd International Conference on Risk Analysis and Crisis Response(第二届风险分析与危机反应国际学术研讨会)》|2009年|709-713|共5页
会议地点 Beijing(CN);Beijing(CN)
作者
DONG Fajun; Ma Wen;
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作者单位

Key Laboratory of Fire Fighting and Rescuing Technology of Ministry of Public Security, Chinese People's Armed Police Force Academy, Langfang 065000, Hebei, China;

Department of Fire Engineering, Chinese People's Armed Police Force Academy,Langfang 065000, Hebei, China;

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原文格式 PDF
正文语种 eng
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关键词
data mining; fire fighting receive-disposal alarm; k-means clustering; ANOVA;

机译：数据挖掘;消防接收处置警报; k-均值聚类;方差分析;

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Research on Application of K-means Cluster Analysis in Data of Fire Fighting Receive-disposal Alarm

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