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 language | English (US) |
|---|---|
| Title of host publication | SpringerBriefs in Computer Science |
| Publisher | Springer |
| Pages | 1-6 |
| Number of pages | 6 |
| DOIs | |
| State | Published - Jan 1 2018 |
Publication series
| Name | SpringerBriefs in Computer Science |
|---|---|
| ISSN (Print) | 2191-5768 |
| ISSN (Electronic) | 2191-5776 |
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ASJC Scopus subject areas
- Computer Science(all)
Cite this
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 proceeding › Chapter
}
TY - CHAP
T1 - Introduction
AU - Yao, Yuan
AU - Su, Xing
AU - Tong, Hanghang
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85056579749&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056579749&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-02101-6_1
DO - 10.1007/978-3-030-02101-6_1
M3 - Chapter
T3 - SpringerBriefs in Computer Science
SP - 1
EP - 6
BT - SpringerBriefs in Computer Science
PB - Springer
ER -