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On Machine Learning Trends for Android Applications

by Nived J. Baria, Pruthvirajsinh S. Solanki, Dhaval B. Rank, Tejasvi G. Kathiriya, Rutvij H. Jhaveri
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 31
Year of Publication: 2018
Authors: Nived J. Baria, Pruthvirajsinh S. Solanki, Dhaval B. Rank, Tejasvi G. Kathiriya, Rutvij H. Jhaveri
10.5120/ijca2018916616

Nived J. Baria, Pruthvirajsinh S. Solanki, Dhaval B. Rank, Tejasvi G. Kathiriya, Rutvij H. Jhaveri . On Machine Learning Trends for Android Applications. International Journal of Computer Applications. 179, 31 ( Apr 2018), 29-31. DOI=10.5120/ijca2018916616

@article{ 10.5120/ijca2018916616,
author = { Nived J. Baria, Pruthvirajsinh S. Solanki, Dhaval B. Rank, Tejasvi G. Kathiriya, Rutvij H. Jhaveri },
title = { On Machine Learning Trends for Android Applications },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2018 },
volume = { 179 },
number = { 31 },
month = { Apr },
year = { 2018 },
issn = { 0975-8887 },
pages = { 29-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number31/29196-2018916616/ },
doi = { 10.5120/ijca2018916616 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:57:09.303778+05:30
%A Nived J. Baria
%A Pruthvirajsinh S. Solanki
%A Dhaval B. Rank
%A Tejasvi G. Kathiriya
%A Rutvij H. Jhaveri
%T On Machine Learning Trends for Android Applications
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 31
%P 29-31
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent past, machine learning has become the backbone of distinct mobile applications. In this paper, first we will discuss how machine learning is introduced as a pervasive field in the digital world. We carried out Google trends analysis of machine learning by taking various aspects into consideration. Moreover, we discovered the popularity of Android applications over their peer competitors. Additionally, we have provided an insight for a range of popular Android applications which uses machine learning techniques and a zoo of features which have been addressed using machine learning. The paper emphasizes the importance of machine learning in the development of different trending Android applications. Furthermore, it categorizes different applications by considering various available metrics in Google Play.

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Index Terms

Computer Science
Information Sciences

Keywords

Machine Learning Android Application Trend artificial Intelligence.

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