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Mobile Data MiningIntroduction

Mobile Data Mining: Introduction [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.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Mobile Data MiningIntroduction

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Publisher
Springer International Publishing
Copyright
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2018
ISBN
978-3-030-02100-9
Pages
1 –6
DOI
10.1007/978-3-030-02101-6_1
Publisher site
See Chapter on Publisher Site

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.]

Published: Nov 1, 2018

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