Research on Trend Analysis and Prediction Algorithm Based on Time Series

Title

Research on Trend Analysis and Prediction Algorithm Based on Time Series

Subject

big data
Big Data
distributed computing
Distributed computing
Handheld computers
Market research
Prediction algorithms
Prediction methods
time Series
Time series analysis
trend analysis and prediction

Description

At present, there is an increasing demand for big data analysis in various industries. Big data is characterized by large data scale, long calculation cycle, and high resource performance requirements for distributed computing systems. For the resource performance and state information provided by the distributed computing system of big data, the trend-based time prediction algorithm is used to predict the short-term performance of the resource. We set more weights to track the trend of data change, distinguish the different situations of data increase and decrease, so that the improved hybrid trend prediction algorithm has better performance than the improved one, and effectively improves the accuracy of prediction.
73-76

Creator

C. Qiang
Q. Xin

Publisher

2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE)

Date

2019

Type

conferencePaper

Identifier

10.1109/EITCE47263.2019.9095181

Citation

C. Qiang and Q. Xin, “Research on Trend Analysis and Prediction Algorithm Based on Time Series,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/27846.

Output Formats