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題名 Mining Sequential Application Usage Patterns with Time Constraint of Smartphone Users
作者 Tseng, W.-R.;Hsu, K.-W.
徐國偉
貢獻者 資科系
關鍵詞 Sequential Pattern Mining, Smartphone Application, Smartphone Usage
日期 2014-06
上傳時間 11-四月-2016 16:03:06 (UTC+8)
摘要 Smartphones are mobile phones with extended functionality and have brought changes to our daily lives. The main feature of smartphones is that the developers can create applications that users can use to personalize their smartphones. As both the number of smartphone users and the number of available smartphone applications increase, it is practically important to study how users use the applications on their smartphones. Thus, we apply a sequential pattern mining technique to a set of smartphone logs collected from several users over several months. This paper presents a data preprocessing process that transforms the logs to sessions. It also presents an algorithm designed to mine sequential patterns with constraint on the maximum time interval between applications used in a session. It further presents interesting patterns generated by using different time intervals. This paper contributes to behavior analysis of smartphone users by providing an approach used to discover patterns from smartphone logs and by providing a discussion about the discovered patterns. What presented in this paper could be beneficial to the developers of smartphone applications.
關聯 International Conference on Cyber Behavior (CB), Taipei, Taiwan, June 18-20, 2014, 1-11
資料類型 conference
dc.contributor 資科系
dc.creator (作者) Tseng, W.-R.;Hsu, K.-W.
dc.creator (作者) 徐國偉zh_TW
dc.date (日期) 2014-06
dc.date.accessioned 11-四月-2016 16:03:06 (UTC+8)-
dc.date.available 11-四月-2016 16:03:06 (UTC+8)-
dc.date.issued (上傳時間) 11-四月-2016 16:03:06 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/84107-
dc.description.abstract (摘要) Smartphones are mobile phones with extended functionality and have brought changes to our daily lives. The main feature of smartphones is that the developers can create applications that users can use to personalize their smartphones. As both the number of smartphone users and the number of available smartphone applications increase, it is practically important to study how users use the applications on their smartphones. Thus, we apply a sequential pattern mining technique to a set of smartphone logs collected from several users over several months. This paper presents a data preprocessing process that transforms the logs to sessions. It also presents an algorithm designed to mine sequential patterns with constraint on the maximum time interval between applications used in a session. It further presents interesting patterns generated by using different time intervals. This paper contributes to behavior analysis of smartphone users by providing an approach used to discover patterns from smartphone logs and by providing a discussion about the discovered patterns. What presented in this paper could be beneficial to the developers of smartphone applications.
dc.format.extent 84276 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) International Conference on Cyber Behavior (CB), Taipei, Taiwan, June 18-20, 2014, 1-11
dc.subject (關鍵詞) Sequential Pattern Mining, Smartphone Application, Smartphone Usage
dc.title (題名) Mining Sequential Application Usage Patterns with Time Constraint of Smartphone Users
dc.type (資料類型) conference