[1]滕少华,洪嘉铭,张巍.序列模式挖掘在警用车辆维修数据分析中的研究与应用[J].江西师范大学学报(自然科学版),2013,(04):371-375.
 TENG Shao-hua,HONG Jia-ming,ZHANG Wei.Sequential Pattern Mining Applying in Analyzing Police Vehicle Maintenance Data[J].,2013,(04):371-375.
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序列模式挖掘在警用车辆维修数据分析中的研究与应用()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年04期
页码:
371-375
栏目:
出版日期:
2013-09-01

文章信息/Info

Title:
Sequential Pattern Mining Applying in Analyzing Police Vehicle Maintenance Data
作者:
滕少华;洪嘉铭;张巍
广东工业大学计算机学院,广东广州,510006
Author(s):
TENG Shao-hua;HONG Jia-ming;ZHANG Wei
关键词:
序列模式挖掘警用车辆维修数据挖掘
Keywords:
sequential pattern miningpolice vehicle maintenancedata mining
分类号:
TP391
文献标志码:
A
摘要:
将序列模式挖掘方法应用于警用车辆维修数据分析中,对车辆维修记录序列中的多个维度属性展开分析,获取辅助决策信息.实验结果表明:该序列模式挖掘方法在警用车辆维修数据分析中是可行、有效的.
Abstract:
The sequential pattern mining method has been used to analyze the police vehicle maintenance data.The multi-dimension analysis of vehicle maintenance data has been used to extract decision support information.The experimental results show that our method is feasible and effective.

参考文献/References:

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备注/Memo

备注/Memo:
教育部重点实验室基金(110411);广东省自然科学基金(10451009001004804);广东省科技计划(2012B091000173)
更新日期/Last Update: 1900-01-01