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Efficiently and Effectively Mining Time-Constrained Sequential Patterns of Smartphone Application Usage
المؤلف
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-01-16
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
Today, we have the freedom to install and use all kinds of applications on smartphones, thanks to the development of mobile communication and computing technologies.
Undoubtedly, the system and application developers are eager to know how we use the applications on our smartphones in our daily life and so are the researchers.
In this paper, we present our work on developing a pattern mining algorithm and applying it to smartphone application usage log collected from tens of smartphone users for several years.
Our goal is to mine the sequential patterns each of which presents a series of application uses and satisfies a constraint on the maximum time interval between two application uses.
However, we cannot mine such patterns by general algorithms and will miss some patterns by using the widely used implementation of the advanced algorithm specifically designed for time-constrained sequential pattern mining.
We not only present an algorithm that can efficiently and effectively mine the patterns in which we are interested but also discuss and visualize the mined patterns.
Our work could potentially support the related studies.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hsu, Kuo-Wei. 2017. Efficiently and Effectively Mining Time-Constrained Sequential Patterns of Smartphone Application Usage. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1189031
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hsu, Kuo-Wei. Efficiently and Effectively Mining Time-Constrained Sequential Patterns of Smartphone Application Usage. Mobile Information Systems No. 2017 (2017), pp.1-18.
https://search.emarefa.net/detail/BIM-1189031
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hsu, Kuo-Wei. Efficiently and Effectively Mining Time-Constrained Sequential Patterns of Smartphone Application Usage. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1189031
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1189031
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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