互联网+环境下基于数据挖掘的个性化PDM系统的应用研究

Research and Application of Personalized PDM System Based on Data Mining Under Internet Plus Environment

从互联网+时代对企业产品数据管理需求不断升级的现状出发,针对数据挖掘中经典的关联规则算法-Apriori算法中存在的不足并考虑到不同企业PDM系统中存在的企业文化、操作习惯不同等个性化需求问题,参考相关文献改进算法,并通过模拟系统来实验验证,该PDM系统的稳定性及效率较之前有很大的提升。

From the current situation of the Internet era of product data management needs of enterprises continuously upgrade,aiming at the problems of-Apriori algorithm for mining association rules in the classical and taking into account the existence of different enterprises in the PDM system of enterprise culture,different operating habits such as personalized requirements,refer to the relevant literature to improve the algorithm,and through simulation experiment system validation,stability and efficiency of the PDM system is much better than before.