This paper is published in Volume-5, Issue-1, 2019
Area
Android Machine Learning
Author
Praveen Thirumurugan
Co-authors
Keerthana Ravichandran, Poojaa Krishnamoorthy
Org/Univ
Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India
Pub. Date
07 February, 2019
Paper ID
V5I1-1276
Publisher
Keywords
Machine learning, Android, Tensor flow, Apps, Behavior, Prediction

Citationsacebook

IEEE
Praveen Thirumurugan, Keerthana Ravichandran, Poojaa Krishnamoorthy. Application usage behaviour prediction in Android OS using improved unsupervised learning algorithms, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Praveen Thirumurugan, Keerthana Ravichandran, Poojaa Krishnamoorthy (2019). Application usage behaviour prediction in Android OS using improved unsupervised learning algorithms. International Journal of Advance Research, Ideas and Innovations in Technology, 5(1) www.IJARIIT.com.

MLA
Praveen Thirumurugan, Keerthana Ravichandran, Poojaa Krishnamoorthy. "Application usage behaviour prediction in Android OS using improved unsupervised learning algorithms." International Journal of Advance Research, Ideas and Innovations in Technology 5.1 (2019). www.IJARIIT.com.

Abstract

The paper is about ‘Application Usage Behaviour Prediction in Android OS using Improved Unsupervised Learning Algorithms’. This algorithm works with the input dataset collected from the usage of various applications by a user in an Android Device for a continuous period of time regularly. The algorithm which has the ability to adapt and tune itself to the user’s behaviour and makes predictions which are in turn communicated to the user via notifications to improve his/her usage productivity.
Paper PDF