基于序列模式挖掘的警用车辆维修数据分析模型探讨

Discussion on Analysis Model of Police Vehicle Maintenance Data Based on Sequential Pattern Mining Mode

近年来,电子信息技术发展迅速,被应用于各行各业,信息技术的应用导致数据量大增,所以在发展的过程中必须挖掘大数据背后隐含的信息价值,从而提高管理效率.在这种环境下,对警用车辆维修数据进行分析,获取辅助决策信息,对警用车辆维修管理具有重要的意义.特别是在序列模式挖掘模式下分析当前司法系统中警用车辆的维修数据,进而得出警用车辆维修数据分析模型,有效提高警用车辆管理效率.主要分析在序列模式挖掘模式下,警用车辆维修数据分析模型的稳定性与可靠性.

The electronic information technology has developed rapidly,and has been gradually applied to the development of all walks of life in recent years.The application of information technology has led to a great increase in the amount of data.It is necessary to excavate the information value behind the big data in the process of development,so as to improve the management efficiency.In this environment,the analysis of police vehicle maintenance data and the acquisition of auxiliary decision-making information are of great significance to the maintenance management of police vehicles.Especially in the sequential pattern mining mode,the maintenance data of police vehicles in the current judicial system are analyzed,and then the analysis model of police vehicle maintenance data is obtained,which effectively improves the efficiency of police vehicle management.In this paper,the stability and reliability of the data analysis model of police vehicle maintenance under sequential pattern mining mode are mainly analyzed.