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

摘要：

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.

关键词： data mining fire fighting receive-disposal alarm k-means clustering ANOVA

作者: DONG Fajun Ma Wen

作者单位: Key Laboratory of Fire Fighting and Rescuing Technology of Ministry of Public Security, Chinese Peop Department of Fire Engineering, Chinese Peoples Armed Police Force Academy,Langfang 065000, Hebei,

会议类型: 国际会议

会议名称: 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)

会议地点: 北京

会议语种:英文

页码: 709-713

在线出版日期: 2009-10-19（万方平台首次上网日期，不代表论文的发表时间）