基于数据挖掘的激光与护理文献定量分析与预测

Quantitative Analysis and Forecast of Laser and Nursing Literature Based on Data Mining

针对当前难以对激光与护理文献定量变化趋势进行准确统计分析的难题,提出一种基于数据挖掘的激光与护理文献定量分析与预测模型。首先对激光与护理文献定量历史数据进行分析,得到一种多维的激光与护理文献定量数据,然后采用数据挖掘技术建立激光与护理文献定量统计分析模型,并采用粒子群算法优化模型参数,最后采用1982~2014年的激光与护理文献数据对其性能进行验证性测试。结果表明,本文模型可以真实反映激光与护理文献数据变化规律,统计分析结果可以为相关研究人员提供有价参考意见。

Because the current laser and nursing literature analysis methods is difficult to describe the change trend of data accurately problem,this paper puts forward a quantitative analysis and forecast method based on data mining. Firstly,laser and nursing literature quantitative historical data are analysis and obtained a multidimensional laser and nursing literature quantitative data,and data mining techniques which is used to establish quantitative laser and nursing literature statistical analysis model,Then particle swarm algorithm which is used to optimize the parameter,and finally the performance is tested on f laser and nursing literature data 1982 ~ 2014 years of. Results show that the proposed model can reflect the variation of the laser and the nursing literature data,the results of statistical analysis can provide valuable reference for related researchers.