Multimedia Filtering Analysis of Massive Information Combined with Data Mining Algorithms. (15th September 2021)

• Record Type: Journal Article
• Authors: Wang, Bo
• Other Names: Mu Zhendong Academic Editor.
• Is Part Of: Advances in multimedia. Volume 2021(2021)
• Publication Date: 2021-09-15
• Subjects: Multimedia systems -- Periodicals; Computer networks -- Periodicals; Multimédia; Réseaux d'ordinateurs; Computer networks; Multimedia systems; Periodicals; 006.7
• DOI: 10.1155/2021/7461874
• Languages: English
• ISSNs: 1687-5680

Abstract

Abstract : With the advent of the big data era, information presentation has exploded. For example, rich methods such as audio and video have integrated more information, but with it, a lot of bad information has been brought. In view of this situation, this paper relies on data mining algorithms, builds a multimedia filtering system model for massive information, and integrates content recognition, packet filtering, and other technologies to match the two to ensure the integrity and real time of filtering. Practice results prove that the method is effective.