Mobile Big Data

Xiang Cheng, Luoyang Fang, Liuqing Yang, Shuguang Cui

Research output: Chapter in Book/Report/Conference proceedingChapter


The smart phone evolution in the past decade has accelerated the proliferation of mobile Internet and spurred a new wave of mobile applications on smart phones. In particular, GPS is becoming part of the default configuration of any smart mobile devices, rendering location information readily available. Even in the lack of exact location information when GPS is not enabled, the coarse location can still be inferred from the network-level data. The location information alone can already enable a great variety of applications to provide personalized services (context-aware recommendation, next location prediction based traffic time estimation, etc.) and to assist public service planning (e.g., traffic flow analysis, transportation management, city zone recognition, etc.). As smart phones are equipped with a variety of sensors, personal behaviors can be further learned and monitored. In addition, mobile operators can also collect a huge amount of data to monitor the technical and transactional aspects of their networks. It has been recently recognized that such data, known as mobile big data, could well be an under-exploited gold mine for almost all societal sectors.

Original languageEnglish (US)
Title of host publicationWireless Networks(United Kingdom)
PublisherSpringer Science and Business Media B.V.
Number of pages11
StatePublished - 2018
Externally publishedYes

Publication series

NameWireless Networks(United Kingdom)
ISSN (Print)2366-1186
ISSN (Electronic)2366-1445

Bibliographical note

Publisher Copyright:
© 2018, Springer International Publishing AG, part of Springer Nature.


  • Context-aware Recommendation
  • Exact Location Information
  • Network-level Data
  • Smart Mobile Devices
  • Traffic Flow Analysis


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