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.

Original languageEnglish (US)
Title of host publicationSpringerBriefs in Computer Science
PublisherSpringer
Pages1-6
Number of pages6
DOIs
StatePublished - Jan 1 2018

Publication series

NameSpringerBriefs in Computer Science
ISSN (Print)2191-5768
ISSN (Electronic)2191-5776

Fingerprint

Data mining
Smartphones
Data privacy
Sensors

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Yao, Y., Su, X., & Tong, H. (2018). Introduction. In SpringerBriefs in Computer Science (pp. 1-6). (SpringerBriefs in Computer Science). Springer. https://doi.org/10.1007/978-3-030-02101-6_1

Introduction. / Yao, Yuan; Su, Xing; Tong, Hanghang.

SpringerBriefs in Computer Science. Springer, 2018. p. 1-6 (SpringerBriefs in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingChapter

Yao, Y, Su, X & Tong, H 2018, Introduction. in SpringerBriefs in Computer Science. SpringerBriefs in Computer Science, Springer, pp. 1-6. https://doi.org/10.1007/978-3-030-02101-6_1
Yao Y, Su X, Tong H. Introduction. In SpringerBriefs in Computer Science. Springer. 2018. p. 1-6. (SpringerBriefs in Computer Science). https://doi.org/10.1007/978-3-030-02101-6_1
Yao, Yuan ; Su, Xing ; Tong, Hanghang. / Introduction. SpringerBriefs in Computer Science. Springer, 2018. pp. 1-6 (SpringerBriefs in Computer Science).
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