Research Article
On Machine Learning Trends for Android Applications
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 179 - Issue 31 |
| Published: Apr 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 },
year = { 2018 },
volume = { 179 },
number = { 31 },
pages = { 29-31 },
doi = { 10.5120/ijca2018916616 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2018
%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%T
%J International Journal of Computer Applications
%V 179
%N 31
%P 29-31
%R 10.5120/ijca2018916616
%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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