基于数据挖掘的药学教育资源库录入信息量的控制

Control of Input Information in Pharmacy Education Resource Database Based on Data Mining

目前采用的药学教育资源库录入信息量控制时间过长,导致录入的信息量准确性较低。为了解决上述问题,基于数据挖掘技术提出了一种新的药学教育资源库录入信息量控制方法。在了解数据挖掘技术的实现原理以及特点基础上,再根据其特点建立相关数据控制模型,通过阈值设定的方式初步筛选可以完成信息录用的药学教育资源,再对录用资源进行识别与接口分化,对录入信息量以药学资源类型为标准规定信息量的录用,在仿真实现的过程中对信息量与数据样式的提取与识别提升信息量自动控制的安全性与可靠性进行验证,最后建立网络协议完成信息量的完整录入。实验结果表明,基于数据挖掘的药学教育资源库录入信息量自动控制仿真方法能够有效缩短控制时间,提高控制结果的准确率。

The current control method for the amount of information entered in the pharmacy education resource database takes long time,it results in low accuracy of the amount of information entered.In order to solve the above problems,based on data mining technology,a new simulation method for control of the input information of the pharmacy education resource database is proposed.By understanding the implementation principles and characteristics of data mining technology,relevant data control models are established based on its characteristics.Through threshold setting,the pharmacy education resources that can complete the information recruitment are initially screened,and then the recruitment resources are identified,and interface and the entered information are differentiated.The amount of information is specified by the type of pharmaceutical resource as the standard.The extraction and identification of the amount of information and data patterns in the realization of control simulation improve the security and reliability of control of the amount of information,and finally it establishes a network protocol to complete the amount of information.The experimental results show that the automatic control simulation method of the input information of the pharmacy education resource database based on data mining can effectively shorten the control time and improve the accuracy of the control results.