Detail publikačního výsledku

Design of Data Trend Analysis Algorithm in Multimedia Teaching Communication Platform

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

Originální název

Design of Data Trend Analysis Algorithm in Multimedia Teaching Communication Platform

Anglický název

Design of Data Trend Analysis Algorithm in Multimedia Teaching Communication Platform

Druh

Článek WoS

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

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

Rok RIV

2023

Vydáno

05.02.2022

Nakladatel

SPRINGER

Místo

NEW YORK

ISSN

1383-469X

Periodikum

MOBILE NETWORKS & APPLICATIONS

Svazek

2022

Číslo

2

Stát

Nizozemsko

Strany počet

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"
}