An Evaluation of Intelligent Network Data Analytics Based on Machine Learning In 5G Data Networks

Big Data Analytics has developed as a judgment technique for unopened organizations to uncover hidden patterns, relationships, industry trends, and consumption patterns. Newline Of the most common sources of big data is Viral marketing data sets, as Web 2.0 null byte technology generate massive social corpora from our everyday routines. Newline in basic language Web 2.0 technology applications including Internet newline data analytics, relationship management, Text Analytics, and opinion line break mining depend heavily on processing.Even before compared to prestige cellular networks, 5G cellular networks have many major updates, such as network data analytics-based network data analytics, which will allow network administrators to either implement their own machine learning (ML)-based data analytics methodologies or incorporating third-party solutions into their networks. This study originally presents the structure and protocols of network data analytics based on the 3rd Generation Partnership Project (3GPP) standard standards. Then, based on the fields specified by the 3GPP specification, a cell-based artificial data set for 5G networks is built.Network slice, a major 5G technology, divides a physical network into many virtual end-to-end networks, each of which may receive logically separate network resources to offer richer services. 5G mobile data and sensor data are combining to produce an increasing network traffic. Traffic explosion has grown into a mixed network type, involving network viruses, worms, network theft, and hostile assaults. How to differentiate traffic kinds, restrict fraudulent traffic, and make optimal use of sensor data in the context of a 5G network slice, as well as the importance of this researchAdditionally, some abnormalities are added to this collected data (for examples, unexpected increased volume in a particular tissue), and so these irregularities are categorized within each compartment, subscriber’s category, and remote controller.