[Objective] This paper proposes the framework for a mobile data retrieval and analysis system based on context-awareness, aiming to optimize the related data mining procedures. [Context] Nowadays, the automatic dynamic and comprehensive applications for mobile data mining were still being developed. [Methods] First, we proposed a framework to collect mobile data from the client side with the help of Android AWARE sensor. The collected data was received by the server automatically. Then, we designed an empirical study to analyze the retrieved APP usage data. [Results] The proposed system could effectively recommand useful APPs to the mobile users. [Limitations] More in-depth analysis was needed to examine the collected data. [Conclusions] The proposed framework could help us effectly retrieve and analyze mobile useage data, which benefits the contextual computing research and the mobile informaiton behavior studies.
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