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 …
Data science and analytics: an overview from data-driven smart computing, decision-making and applications perspective
IH Sarker - SN Computer Science, 2021 - Springer
The digital world has a wealth of data, such as internet of things (IoT) data, business data,
health data, mobile data, urban data, security data, and many more, in the current age of the …
health data, mobile data, urban data, security data, and many more, in the current age of the …
Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usage
Due to the increasing popularity of recent advanced features and context-awareness in
smart mobile phones, the contextual data relevant to users' diverse activities with their …
smart mobile phones, the contextual data relevant to users' diverse activities with their …
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 …
A machine learning based robust prediction model for real-life mobile phone data
IH Sarker - Internet of Things, 2019 - Elsevier
Real-life mobile phone data may contain noisy instances, which is a fundamental issue for
building a prediction model with many potential negative consequences. The complexity of …
building a prediction model with many potential negative consequences. The complexity of …
Recencyminer: mining recency-based personalized behavior from contextual smartphone data
Due to the advanced features in recent smartphones and context-awareness in mobile
technologies, users' diverse behavioral activities with their phones and associated contexts …
technologies, users' diverse behavioral activities with their phones and associated contexts …
Mining user behavioral rules from smartphone data through association analysis
The increasing popularity of smart mobile phones and their powerful sensing capabilities
have enabled the collection of rich contextual information and mobile phone usage records …
have enabled the collection of rich contextual information and mobile phone usage records …
RETRACTED ARTICLE: PredictionMiner: mining the latest individual behavioral rules for personalized contextual pattern predictions
MF Khan, L Lu, H Afzal, JA Nasir - Soft Computing, 2023 - Springer
The user's behavior towards smartphone is not static and changes dynamically as the real
world changes, depending on various contextual patterns. Finding the latest behavioral …
world changes, depending on various contextual patterns. Finding the latest behavioral …
Research issues in mining user behavioral rules for context-aware intelligent mobile applications
IH Sarker - Iran Journal of Computer Science, 2019 - Springer
Context awareness in smart mobile applications is a growing area of study because of its
intelligence in the applications. To build context-aware intelligent applications, mining …
intelligence in the applications. To build context-aware intelligent applications, mining …
Understanding the role of data-centric social context in personalized mobile applications
IH Sarker - arXiv preprint arXiv:1811.02615, 2018 - arxiv.org
Context-awareness in personalized mobile applications is a growing area of study. Social
context is one of the most important sources of information in human-activity based …
context is one of the most important sources of information in human-activity based …