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Detecting smartphone user habits using sequential pattern analysis
Lu Dang Nhac,Nguyen Thu Trang,Nauyen Thi Hau,Nguyen Ha Nam,Gyoo Seok Choi 한국인터넷방송통신학회 2015 International Journal of Internet, Broadcasting an Vol.7 No.1
Recently, the study of smart phone user habits has become a highly focused topic due to the rapid growth of the smart phone market. Indeed, sequential pattern analysis methods were efficiently used for web-based user habit mining long time ago. However, by means of simulations, it has been observed that these methods might fail for smart phone-based user habit mining. In this paper, we propose a novel approach that leads to a considerably increased performance of the traditional sequential pattern analysis methods by reasonably cutting off each chronological sequence of user logs on a device into shorter ones, which represent the sequential user activities in various periods of a day.