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Home > Archives > Volume 20, No 8 (2022) > Article

DOI: 10.14704/nq.2022.20.8.NQ44430

CLASSIFICATION OF MACHINE LEARNING TECHNIQUES IN SOCIAL NETWORK USING BIG DATA

D.Deepa, Dr.K.Rohini

Abstract

Online media have turned into an indispensable for a greater part of the world's web clients. Everyone will get value added intelligence from online media. Individuals can also make content for online media to feature their abilities. Online Content can take various structures like pictures, text, emojis, and recordings. Since there are relatively few cut off points on content creation via webbased media, clients produce a massive measure of information that shows every one of the qualities of large information. This information can be utilized for various logical and prescient business applications. Underlying Query Language isn't adequate to mine data from enormous information. It requires complex measurable ML ways for dealing with gathering data from this gigantic information. The section gives a review of various metaheuristic AI and MACHINE learning algorithms utilized for different examination issues in the area of interpersonal organizations and enormous information. Big data is taken into account for classification and performance evaluation ML algorithms.

Keywords

Big data , Networking

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