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Article
Open AccessRecencyMiner: 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 are recorded through the device l...
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Article
Open AccessEffectiveness 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 phones are recorded through the d...
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Article
Open AccessContext-aware rule learning from smartphone data: survey, challenges and future directions
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 recent developments in smartphones...
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Article
Open AccessCybersecurity data science: an overview from machine learning perspective
In a computing context, cybersecurity is undergoing massive shifts in technology and its operations in recent days, and data science is driving the change. Extracting security incident patterns or insights from c...
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Article
Open AccessContext pre-modeling: an empirical analysis for classification based user-centric context-aware predictive modeling
Nowadays, machine learning classification techniques have been successfully used while building data-driven intelligent predictive systems in various application areas including smartphone apps. For an effecti...