Design of Data Trend Analysis Algorithm in Multimedia Teaching Communication Platform
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU146870" target="_blank" >RIV/00216305:26220/22:PU146870 - isvavai.cz</a>
Výsledek na webu
<a href="https://link.springer.com/article/10.1007/s11036-021-01880-9" target="_blank" >https://link.springer.com/article/10.1007/s11036-021-01880-9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11036-021-01880-9" target="_blank" >10.1007/s11036-021-01880-9</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Design of Data Trend Analysis Algorithm in Multimedia Teaching Communication Platform
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Design of Data Trend Analysis Algorithm in Multimedia Teaching Communication Platform
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20203 - Telecommunications
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
MOBILE NETWORKS & APPLICATIONS
ISSN
1383-469X
e-ISSN
1572-8153
Svazek periodika
2022
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
10
Strana od-do
„“-„“
Kód UT WoS článku
000751595600004
EID výsledku v databázi Scopus
2-s2.0-85124296497