127 citations · 161 across the 25 of their papers we have counts for
6 papers · 1 filter
Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior
Iqbal H. Sarker, Alan Colman, MA Kabir +1
Mobile phones can record individual's daily behavioral data as a time-series. In this paper, we present an effective time-series segmentation technique that extracts optimal time s…
Research Issues in Mining User Behavioral Rules for Context-Aware Intelligent Mobile Applications
Iqbal H. Sarker
Context-awareness in smart mobile applications is a growing area of study, because of it's intelligence in the applications. In order to build context-aware intelligent application…
Understanding the Role of Data-Centric Social Context in Personalized Mobile Applications
Iqbal H. Sarker
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 applica…
Mobile Data Science: Towards Understanding Data-Driven Intelligent Mobile Applications
Iqbal H. Sarker
Due to the popularity of smart mobile phones and context-aware technology, various contextual data relevant to users' diverse activities with mobile phones is available around us.…
SilentPhone: Inferring User Unavailability based Opportune Moments to Minimize Call Interruptions
Iqbal H. Sarker
The increasing popularity of cell phones has made them the most personal and ubiquitous communication devices nowadays. Typically, the ringing notifications of mobile phones are us…
Mining User Behavioral Rules from Smartphone Data through Association Analysis
Iqbal H. Sarker, Flora D. Salim
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 t…