Editorial
Research on the application of data mining algorithm in photojournalism and short video communication
@ARTICLE{10.4108/eetsis.5180, author={Yidi Wang and Yan Song Zhang}, title={Research on the application of data mining algorithm in photojournalism and short video communication}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={11}, number={5}, publisher={EAI}, journal_a={SIS}, year={2024}, month={2}, keywords={photojournalism, data mining algorithms, short videos, video dissemination}, doi={10.4108/eetsis.5180} }- Yidi Wang
Yan Song Zhang
Year: 2024
Research on the application of data mining algorithm in photojournalism and short video communication
SIS
EAI
DOI: 10.4108/eetsis.5180
Abstract
Short films and photojournalism are crucial parts of video communication, yet there are issues including poor video integration, inconsistency between short videos and photojournalism, and slow communication speed. In order to evaluate and analyse video communication, this research offers a data mining algorithm. First, the database's images and videos are chosen and analysed using a mining algorithm, and then the indicators are reduced by dividing them into groups based on the specifications for video dissemination. video transmission distractions. The mining algorithm then analyses the video propagation, creates a plan that satisfies the criteria, and refines the plans that satisfies the criteria. Analyse. The integration level, timeliness, and compliance rate of data mining algorithms for video propagation are superior to traditional video dissemination method under specific analysis criteria, according to MATLAB simulation.
Copyright © 2024 Y. Wang et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
