Volume 9 | Issue 3 | Nov 2024

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 Abstract

In todays’ era of machine learning and data mining the interpretation of data analytics has given a new paradigm to human beings. In this high computing era the data is interpreted as set of connected elements termed as network and for knowledge discovery that is for getting its instances and characteristics traditional machine learning and data mining are being focused. eventually this has emphasized over entity entity relations and perceptions now transformed from individuals to communities which has revealed a new set of problems related to the concept of network and this problems are not successfully solved. In other word considering an example where identification of communities of interconnected elements or entities, recognizing new or missing relations in between them or forecasting the role of any entity with in a community are some of the challenges.

 Keywords

Machine learning, data mining, social network, graph.

 Authors and Affiliations

Shivshankar Rajput
Research Scholar, Department of Computer Science & Engineering, Eklavya University, Damoh, Madhya Pradesh, India
Dr. Anil Pimpalapure
Professor & Dean, Department of Computer Science & Engineering,Eklavya University, Damoh, Madhya Pradesh, India

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