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» On Mining Group Patterns of Mobile Users
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ICPR
2010
IEEE
13 years 7 months ago
Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data
Being able to understand dynamics of human mobility is essential for urban planning and transportation management. Besides geographic space, in this paper, we characterize mobility...
Santi Phithakkitnukoon, Teerayut Horanont, Giusy D...
MOBICOM
2010
ACM
13 years 7 months ago
Profiling users in a 3g network using hourglass co-clustering
With widespread popularity of smart phones, more and more users are accessing the Internet on the go. Understanding mobile user browsing behavior is of great significance for seve...
Ram Keralapura, Antonio Nucci, Zhi-Li Zhang, Lixin...
SIGCOMM
2012
ACM
11 years 9 months ago
Predicting location using mobile phone calls
Location prediction using mobile phone traces has attracted increasing attention. Owing to the irregular user mobility patterns, it still remains challenging to predict user locat...
Daqiang Zhang, Athanasios V. Vasilakos, Haoyi Xion...
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 7 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
CHI
2006
ACM
14 years 7 months ago
A study of the use of mobile phones by older persons
This paper reports on issues related to the use of mobile phones by older people. This study uses triangulation, a mixed method of qualitative (focus group discussions) and quanti...
Sri Hastuti Kurniawan, Murni Mahmud, Yanuar Nugroh...