FEATURE EXTRACTION FOR MOBILE HANDSET IN COHERENCY WITH PRICING FACTORS

Authors:

Anurag Tiwari,Vivek Kumar Singh,Praveen Kumar Shukla,Manuj Darbari,

DOI NO:

https://doi.org/10.26782/jmcms.2020.03.00024

Keywords:

Mobile Selection Criteria,MachineLearning,ANN,DSS,

Abstract

This paper presents a showcase of analysis of Mobile price with respect to the features it is able to analyse for the buyer. The paper gives machine learning approach in identification of the right price and its subsequent features detail. ANN with Back propagation algorithm has been chosen by developing a customized mobile selection algorithm using Kaggle database for modelling and Analysis. Various cost factors are adjusted in relation with the features to be incorporated in the Handset. The adjustment of input variables is done by the help of the machine learning technique giving the exact relationship in three main factors Requirement of the customer based on their segmentation, Price and Features.

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