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Context-awareness in smart mobile applications is a growing area of study,because of it's intelligence in the applications. In order to buildcontext-aware intelligent applications, mining contextual behavioral rules ofindividual smartphone users utilizing their phone log data is the key. However,to mine these rules, a number of issues, such as the quality of smartphonedata, understanding the relevancy of contexts, discretization of continuouscontextual data, discovery of useful behavioral rules of individuals and theirordering, knowledge-based interactive post-mining for semantic understanding,and dynamic updating and management of rules according to their presentbehavior, are investigated. In this paper, we briefly discuss these issues andtheir potential solution directions for mining individuals' behavioral rules,for the purpose of building various context-aware intelligent mobileapplications. We also summarize a number of real-life rule-based applicationsthat intelligently assist individual smartphone users according to theirbehavioral rules in their daily activities.

Research Issues in Mining User Behavioral Rules for Context-Aware Intelligent Mobile Applications