摘要
由于集团数据库积攒了大量的历史数据,造成了数据价值的浪费和企业管理决策不科学的严重后果。为此提出一种基于数据挖掘的大数据平台,采用优化的K-means算法,引入差异性思想的Apriori算法。由实验可知,引入差异性思想的Apriori算法得到的规则数目更少,准确性更高。由此得出,该算法可以有效地识别项目计划的可实施性和实施风险等,降低了企业的投资风险,提高了决策效率。
Because the group database has accumulated a lot of historical data.Cause the waste of data value and serious consequences of unscientific business management decisions.In this regard,a big data platform based on data mining is proposed,It adopts optimized K⁃means algorithm and Apriori algorithm which refers to different ideas.And from the experiment,the improved Apriori algorithm can get higher accuracy and fewer rules.It is concluded that the algorithm can effectively identify the feasibility and implementation risks of the project plan.Reduce the investment risk of enterprises and improve decision⁃making efficiency.
作者
商新新
牟莉
SHANG Xinxin;MOU Li(School of Computer Science,Xi’an Polytechnic University,Xi’an 710048,China)
出处
《电子设计工程》
2021年第19期137-141,共5页
Electronic Design Engineering
