Mobile Price With The Demand of The Mobile Phone Features Prediction using KNN
Year: 2025
Type: conference-paper
Abstract: The approach of this work is based on the data science algorithms. Our model is able to predict the mobile price with the demand of the mobile phone features. We used a relavent and filtered algorithmic rules that can analyse the mobile phone price with it’s installed mobile phone feature. The resulting model was deployed and used as a mobile phone price prediction tool. The aim of the deployed application is to inform the mobile buyers about the mobile price range in advance to avoid the losses of money and fraudness of mobile company.
Author: Hossain, Md Julhas
Institutions: University of Liberal Arts Bangladesh, University of Salford
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7083632318
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