Prospects of Open Source Software for Maximizing the User Expectations in Heterogeneous Network

Author:

Singh Pushpa1,Agrawal Rajeev2

Affiliation:

1. Accurate Institute of Management & Technology, Greater Noida, India

2. G.L.Bajaj Institute of Technology & Management, Greater Noida, India

Abstract

This article focuses on the prospects of open source software and tools for maximizing the user expectations in heterogeneous networks. The open source software Python is used as a software tool in this research work for implementing machine learning technique for the categorization of the types of user in a heterogeneous network (HN). The KNN classifier available in Python defines the type of user category in real time to predict the available users in a particular category for maximizing profit for a business organization.

Publisher

IGI Global

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