福建电脑2024，Vol.40Issue(4)：25-29,5.DOI:10.16707/j.cnki.fjpc.2024.04.006
时序模型ARIMA在数据分析中的应用
Application of Time Series Model ARIMA in Data Analysis
摘要
Abstract
Time series is one of the methods for conducting trend analysis.With the advent of the big data era,economic trends,enterprise operations,market forecasting,and weather forecasting often require forecasting and analysis.This article uses ARIMA model to conduct trend analysis on 2122 stock data of a well-known cosmetics company from 2010 to 2018,and predicts future development trends.Through the fitting and performance evaluation of the model,the results obtained demonstrate that the ARIMA model can achieve good predictive performance in trend analysis of stocks.关键词
时间序列/股票数据/预测模型/自回归积分滑动平均模型Key words
Time Series/Stock Data/Prediction Model/ARIMA分类
信息技术与安全科学引用本文复制引用
李玲玲,辛浩..时序模型ARIMA在数据分析中的应用[J].福建电脑,2024,40(4):25-29,5.基金项目
本文得到安徽省自然科学研究重点项目"基于机器学习的终端入侵检测系统(IDS)"(No.2023AH052869)、淮北职业技术学院自然科学研究重点项目"基于交通流数据驱动的概念漂移发现及检测模型"(No.2020-A-6)的资助. （IDS）
