127 citations · 161 across the 25 of their papers we have counts for
8 papers · 1 filter
CalBehav: A Machine Learning based Personalized Calendar Behavioral Model using Time-Series Smartphone Data
Iqbal H. Sarker, Alan Colman, Jun Han +2
The electronic calendar is a valuable resource nowadays for managing our daily life appointments or schedules, also known as events, ranging from professional to highly personal. R…
AppsPred: Predicting Context-Aware Smartphone Apps using Random Forest Learning
Iqbal H. Sarker, Khaled Salah
Due to the popularity of context-awareness in the Internet of Things (IoT) and the recent advanced features in the most popular IoT device, i.e., smartphone, modeling and predictin…
E-MIIM: An Ensemble Learning based Context-Aware Mobile Telephony Model for Intelligent Interruption Management
Iqbal H. Sarker, A. S. M. Kayes, Md Hasan Furhad +2
Nowadays, mobile telephony interruptions in our daily life activities are common because of the inappropriate ringing notifications of incoming phone calls in different contexts. S…
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…
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…
Identifying Recent Behavioral Data Length in Mobile Phone Log
Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman +1
Mobile phone log data (e.g., phone call log) is not static as it is progressively added to day-by-day according to individ- ual's diverse behaviors with mobile phones. Since human…