基于大数据的图书馆流量预测方法研究

Research on the Method of Library Traffic Forecast Based on Big Data

为实现对图书馆流量的严密把控,笔者提出基于大数据的图书馆流量预测方法,首先通过采集图书馆的流量参数对其进行预处理,然后构建大数据预测模型,通过导入相应的参数数据后对图书馆流量进行预测,最后通过实验论证基于大数据的图书流量预测方法的可行性。为提高预测结果的准确度,在进行预测的过程中需要考虑多种因素。实验结果表明,该方法的预测结果更准确。

In order to control the library traffic strictly,the author puts forward the library traffic prediction method based on big data.Firstly,the library traffic parameters are collected and preprocessed,and then the big data prediction model is constructed.The library traffic is predicted by importing the corresponding parameter data,Finally,the feasibility of the book flow prediction method based on big data is demonstrated through experiments.In order to improve the accuracy of prediction results,many factors need to be considered in the process of prediction.The experimental results show that the method is more accurate.