首页/数据集/Data for: An intelligent hybridization of ARIMA with machine learning models for time series forecasting

Data for: An intelligent hybridization of ARIMA with machine learning models for time series forecasting

Mendeley Data2019-04-26 更新2026-04-09 收录

时序预测

预测模型

数据链接：

https://data.mendeley.com/datasets/xpjfgc2knm 数据链接链接失效反馈

官方服务：

资源简介：

Three classical time series widely used in the literature.

应用场景：

创建时间：

2019-04-26

医学研究

预测模型

Additional file 1: Table S1. Results of univariate analysis. Table S2. Subgroup analysis and tests for interaction. Table S3. Results of multivariate analysis based on five multiple imputations. Table

DataCite Commons2023-04-13 更新80

DR.

预测模型

地形扰动实验

This is an ensemble precipitation forecasts dataset (May 21-22, 2018) from four topography perturbation experiments based on 3km WRF model as well as the corresponding verifying precipitation analysis

NIAID Data Ecosystem50

Class prediction of 50 genes from the Koth et al study.

基因表达分类

预测模型

Class prediction was performed using support vector machines (SVM). The 50 genes from the Koth et al study were used to build the last SVM model in the Training Set and run in the Test and Validation

NIAID Data Ecosystem10

Supplementary Table 1.xls

基因组学

预测模型

Bacterial genomes for predictor: List of bacterial genomes information used to create the predictor

DataCite Commons2023-04-26 更新50

Performance comparison of different models.

库存预测

时序预测

To solve the problem of inaccurate long-term prediction of cross-border inventory encountered by cross-border enterprises in their experience, this paper proposes a cross-border inventory prediction m

NIAID Data Ecosystem10

Data for: An intelligent hybridization of ARIMA with machine learning models for time series forecasting

资源简介：

相关数据集