TY - GEN
T1 - Analysis of mobile phone data under a cloud computing framework
AU - Ghahramani, Mohammadhossein
AU - Zhou, Mengchu
AU - Hon, Chi Tin
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/1
Y1 - 2017/8/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85028516603&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028516603&partnerID=8YFLogxK
U2 - 10.1109/ICNSC.2017.8000125
DO - 10.1109/ICNSC.2017.8000125
M3 - Conference contribution
AN - SCOPUS:85028516603
T3 - Proceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017
SP - 394
EP - 399
BT - Proceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017
A2 - Guerrieri, Antonio
A2 - Fortino, Giancarlo
A2 - Vasilakos, Athanasios V.
A2 - Zhou, MengChu
A2 - Lukszo, Zofia
A2 - Palau, Carlos
A2 - Liotta, Antonio
A2 - Vinci, Andrea
A2 - Basile, Francesco
A2 - Fanti, Maria Pia
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017
Y2 - 16 May 2017 through 18 May 2017
ER -