基于RFID数据集的供应链数据挖掘

摘要

To extract information to optimize workflow from numerous data, which is collected by radio frequency identification devices,a method of creating user interested datasets by data change and data clean is presented.Based on these datasets, the workflow model is constructed.A method of using Apriori algorithm on graph is demonstrated to obtain optimized workflow based on data mining.Finally,the methods and functions are written in the end, the feasibility of method is illustrated.%为了从无线射频识别(RFID)设备收集的大量数据中得到优化商品供应链的信息,提出了利用RFID设备所收集的数据信息构建数据集的方法,运用数据清理及数据变换的方法生成用户有利的数据集.在对用户有利的数据集基础上,构建了工作流模型,提出了将Apriori算法应用到图中,进而得到进行数据挖掘发现的优化工作流网,最后写出了具体的实现算法,并验证了该算法的可行性.