摘要
论文利用基于项头表节点的Fp-growth改进算法对公务用车调度管理系统数据库中的数据进行挖掘,从中发现属性之间的关联规则,即公务用车的使用规律,为车辆调度部门和车辆使用部门提供相关信息,提高工作人员的工作效率。
In this paper,by using the improved Fp-growth algorithm based on the heading table node the data in the public transport scheduling management system database is excavated,in order to discovery the association rules between attributes,also the usage rules of official vehicles provide relevant information to the vehicle dispatching department so as to the vehicle use department,and improve the working efficiency of the staff.
作者
陈君
肖锋
CHEN Jun;XIAO Feng(College of Network Security and Informatization,Weinan Normal University,Weinan 714000;School of Computer Science and Engineering,Xi'an Technological University,Xi'an 710032)
出处
《计算机与数字工程》
2018年第11期2287-2290,共4页
Computer & Digital Engineering
基金
渭南师范学院自然科学类研究项目(编号:17YKP09)
陕西省自然科学基金面上项目(编号:2017JC2-08)
国家自然科学基金面上项目(编号:61572392)资助