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

机译：K-Means集群分析在灭火接收处的数据中的应用研究

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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K-Meansps在SSPS中的群集分析到矿山3063，从2003年到2006年的某个城市收集了3063个灭火的数据样本，初步验证了K-Means集群变量的有效性，并简要分析了采矿结果。结果表明，通过火灾接收和处置的火灾报警数据数据存在的集群中存在某些特征，同时，对数据挖掘的应用进行初步探索分析消防接收处理报警数据的应用。

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《International conference on risk analysis and crisis response》|2009年||共5页
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中图分类风险评价;
关键词
data mining; fire fighting receive-disposal alarm; k-means clustering; ANOVA;

机译：数据挖掘;灭火接收处理报警;k-mearay集群;anova;

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4. Research on Application of K-means Cluster Analysis in Data of Fire Fighting Receive-disposal Alarm [C] . DONG Fajun, Ma Wen 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

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

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