Machine learning: Algorithms, real-world applications and research directions
IH Sarker - SN computer science, 2021 - Springer
In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …
Smartphone app usage analysis: datasets, methods, and applications
As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …
users has increased dramatically over the last decade. These personal devices, which are …
A survey of app store analysis for software engineering
App Store Analysis studies information about applications obtained from app stores. App
stores provide a wealth of information derived from users that would not exist had the …
stores provide a wealth of information derived from users that would not exist had the …
A Review on Machine Learning Strategies for Real‐World Engineering Applications
Huge amounts of data are circulating in the digital world in the era of the Industry 5.0
revolution. Machine learning is experiencing success in several sectors such as intelligent …
revolution. Machine learning is experiencing success in several sectors such as intelligent …
Context-aware rule learning from smartphone data: survey, challenges and future directions
IH Sarker - Journal of Big Data, 2019 - Springer
Smartphones are considered as one of the most essential and highly personal devices of
individuals in our current world. Due to the popularity of context-aware technology and …
individuals in our current world. Due to the popularity of context-aware technology and …
Mining mobile user preferences for personalized context-aware recommendation
Recent advances in mobile devices and their sensing capabilities have enabled the
collection of rich contextual information and mobile device usage records through the device …
collection of rich contextual information and mobile device usage records through the device …
Smartphone app usage prediction using points of interest
In this paper we present the first population-level, city-scale analysis of application usage on
smartphones. Using deep packet inspection at the network operator level, we obtained a …
smartphones. Using deep packet inspection at the network operator level, we obtained a …
Mining smartphone data for app usage prediction and recommendations: A survey
H Cao, M Lin - Pervasive and Mobile Computing, 2017 - Elsevier
Smartphones nowadays have become indispensable personal gadgets to support our
activities in almost every aspect of our lives. Thanks to the tremendous advancement of …
activities in almost every aspect of our lives. Thanks to the tremendous advancement of …
Deepapp: a deep reinforcement learning framework for mobile application usage prediction
This paper aims to predict the apps a user will open on her mobile device next. Such an
information is essential for many smartphone operations, eg, app pre-loading and content …
information is essential for many smartphone operations, eg, app pre-loading and content …
[HTML][HTML] GitHub marketplace for automation and innovation in software production
Context: GitHub, renowned for facilitating collaborative code version control and software
production in software teams, expanded its services in 2017 by introducing GitHub …
production in software teams, expanded its services in 2017 by introducing GitHub …