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Mobile Data Mining

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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Abstract

Smartphones are usually equipped with various sensors by which the personal data of the users can be collected. To make full use of the smartphone data, mobile data mining aims to discover useful knowledge from the collected data in order to provide better services for the users. In this chapter, we introduce some background information about mobile data mining, including what data can be collected by smartphones, what applications can be built upon the collected data, what are the key steps for a typical mobile data mining task, and what are the key characteristics and challenges of mobile data mining.

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Author information

Authors and Affiliations

  1. Nanjing University, Nanjing, China

    Yuan Yao

  2. City University of New York, New York, USA

    Xing Su

  3. Arizona State University, Tempe, USA

    Hanghang Tong

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  1. Yuan Yao
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  2. Xing Su
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  3. Hanghang Tong
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Yao, Y., Su, X., Tong, H. (2018). Introduction. In: Mobile Data Mining. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-02101-6_1

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  • DOI: https://doi.org/10.1007/978-3-030-02101-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02100-9

  • Online ISBN: 978-3-030-02101-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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