Analysis of mobile phone data under a cloud computing framework

Mohammadhossein Ghahramani, Mengchu Zhou, Chi Tin Hon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

With the increasing amount of information, the percentage of processed large-scale heterogeneous data is rapidly growing. Take mobile phones as an example. Due to their various sensors, high presence among people, and cost-effectiveness, they are becoming very popular. This has made it easy to obtain users' contextual data whose collection can be valuable in engineering and business domains, e.g., transportation, location-based services, and advertisement industry. The data volume generated by mobile phones and the need to analyze the information near the real-time are the challenges facing researchers. Recently, big data has attracted much attention from academia, industry as well as government. There is a strong need for new technologies, e.g., frameworks based on cloud computing, that could not only process and analyze a large volume of data, but also ingest a large volume of data at a fast pace. In this paper, we propose to use a dynamic data analysis framework to explore and analyze mobile phone data. After preprocessing the dataset consisting of cell phone communication records, this paper presents an interactive exploratory spatial data analysis algorithm and its analysis results.

Original languageEnglish (US)
Title of host publicationProceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017
EditorsAntonio Guerrieri, Giancarlo Fortino, Athanasios V. Vasilakos, MengChu Zhou, Zofia Lukszo, Carlos Palau, Antonio Liotta, Andrea Vinci, Francesco Basile, Maria Pia Fanti
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages394-399
Number of pages6
ISBN (Electronic)9781509044283
DOIs
StatePublished - Aug 1 2017
Externally publishedYes
Event14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017 - Calabria, Italy
Duration: May 16 2017May 18 2017

Publication series

NameProceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017

Other

Other14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017
CountryItaly
CityCalabria
Period5/16/175/18/17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Optimization
  • Instrumentation

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