Iqbal H. Sarker

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To avoid the problems of high complexity and low flexibility in Java based application Model–view–controller (MVC) framework is introduced to divide the whole application into model, view and controller, which can improve the software’s reusability and flexibility. Java is one of the leading software development languages. However, the development model of(More)
Mobile phone can record various types of context data related to a user's phone call activities in its call log. Call log provides temporal context to modeling individual user's phone call response behavior, i.e., when a user accepts, rejects or misses an incoming call. In this paper, we explore the potentiality of phone call log as a context source to(More)
Mobile or cellular phones can record various types of context data related to a user's phone call activities. In this paper, we present an approach to discovering individualized behavior rules for mobile users from their phone call records, based on the temporal context in which a user accepts, rejects or misses a call. One of the determinants of an(More)
Discovering temporal rules that capture an individual's phone call response behavior is essential to building intelligent individualized call interruption management system. The key challenge to discovering such temporal rules is identifying within a phone call log the <i>time boundaries</i> that delineate periods when an individual user rejects or accepts(More)
Noisy instance in mobile phone data is an important issue for modeling user phone call behavior, with many potential negative consequences. The accuracy of prediction may decrease, thereby increasing the complexity of inferred models and the number of training samples needed. In this paper, we present an <i>effective phone call prediction model</i> based on(More)
Mobile phone log data is not static as it is progressively added to day-by-day according to individual's behavior. The goal of this position paper is to highlight the issues of <i>traditional behavior modeling</i> utilizing phone log data and to describe the key aspects that constitute the foundation of our <i>recency-based behavior modeling</i> for(More)
Now-a-days, mobile phones are considered to be "always on, always connected" but mobile phone users are not always attentive and responsive to incoming phone calls. Incoming call notifications such as ringing at an inopportune moment (e.g., meeting) can cause interruptions for both the users and the surrounding people. In this paper, we present a <i>system(More)
Due to the popularity of context-aware computingand the rapid growth of the smart phone devices, modeling anindividual's phone call response behavior may assist them intheir daily activities for managing call interruptions. A key stepof such modeling is to discovering call response behavioral rulesbased on multi-dimensional contexts related to(More)
The electronic calendar usually serves as a personal organizer and is a valuable resource for managing daily activities or schedules of the users. Naturally, a calendar provides various contextual information about individual's scheduled events/appointments, e.g., meeting. A number of researchers have utilized such information to predict human behavior for(More)