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Efficiently and Effectively Mining Time-Constrained Sequential Patterns of Smartphone Application Usage
Author
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-16
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Telecommunications Engineering
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189031