Publication detail

Design of Data Trend Analysis Algorithm in Multimedia Teaching Communication Platform

LI, J. QU, Y. YUAN, H. NIU, Y. HERENCSÁR, N.

Original Title

Design of Data Trend Analysis Algorithm in Multimedia Teaching Communication Platform

Type

journal article in Web of Science

Language

English

Original Abstract

Traditional methods have some problems such as low analysis accuracy and long time consumption in analyzing trend data of multimedia teaching and communication platform. Therefore, this paper designs a new trend analysis algorithm in multimedia teaching and communication platform.The linear regression model is used to segment the data flow of the multimedia teaching and communication platform, the inverse lemma of a matrix is introduced to modify the model parameters of the data trend analysis of the multimedia teaching and communication platform, and the recursive regression modeling is used to design the data trend analysis algorithm of the multimedia teaching and communication platform.To verify the effectiveness of this method in analyzing data trends in the multimedia teaching communication platform, a comparative experiment is designed.The results show that the algorithm in this paper has a significant clustering trend and shorter trend analysis time when analyzing the changing trend of multimedia teaching communication platform data and can effectively improve the accuracy of clustering trend judgment.

Keywords

Trend analysis; Linear regression model; Data stream segmentation; Inverse lemma for matrices; Correction parameters

Authors

LI, J.; QU, Y.; YUAN, H.; NIU, Y.; HERENCSÁR, N.

Released

5. 2. 2022

Publisher

SPRINGER

Location

NEW YORK

ISBN

1383-469X

Periodical

MOBILE NETWORKS & APPLICATIONS

Year of study

2022

Number

2

State

Kingdom of the Netherlands

Pages count

10

URL

https://link.springer.com/article/10.1007/s11036-021-01880-9

BibTex

@article{BUT180825,
  author="Jie {Li} and Yi-ning {Qu} and Hailey {Yuan} and Ya‑li {Niu} and Norbert {Herencsár}",
  title="Design of Data Trend Analysis Algorithm in Multimedia Teaching Communication Platform",
  journal="MOBILE NETWORKS & APPLICATIONS",
  year="2022",
  volume="2022",
  number="2",
  pages="10",
  doi="10.1007/s11036-021-01880-9",
  issn="1383-469X",
  url="https://link.springer.com/article/10.1007/s11036-021-01880-9"
}