基于RFID的电动车运行轨迹频繁模式挖掘算法研究

Research on Frequent Pattern Mining Algorithm for Electric Vehicle Trajectory Base on RFID

利用无线射频识别技术实现电动车防盗,已经在很多城市得到良好的运用,挖掘电动车的过车数据,从中发现用户行为规律,挖掘有价值的潜在信息,具有非常重要的意义。本文研究了基于RFID的电动车运行数据的挖掘和分析算法,给出了频繁轨迹模式的定义,提出利用带权无环图计算频繁轨迹的方法。经实际验证,该挖掘算法的结果符合现实状况。

Electric bicycle anti-theft system with wireless radio frequency identification technology has been well used in many cities.It is of great significance to mine the data of electric vehicles to discover the behavior of users and explore valuable potential information.The mining and data analysis algorithm of electric vehicle based on RFID was studied in this paper.The definition of frequent trajectory mode was given and the method of calculating frequent trajectory by using weighted in this paper acyclic graph was proposed.By actual verification,it showed that the results of mining algorithm were conform to the reality.