Multimedia Filtering Analysis of Massive Information Combined with Data Mining Algorithms | Zendy

Bo Wang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Multimedia Filtering Analysis of Massive Information Combined with Data Mining Algorithms

Author(s) -

Bo Wang

Publication year - 2021

Publication title -

advances in multimedia

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.278

H-Index - 17

eISSN - 1687-5699

pISSN - 1687-5680

DOI - 10.1155/2021/7461874

Subject(s) - computer science , information filtering system , big data , presentation (obstetrics) , data mining , network packet , collaborative filtering , information retrieval , algorithm , data science , recommender system , computer security , medicine , radiology

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research